News
The latest news regarding the de.NBI network and related activities: upcoming talks, courses, articles, job offers etc. are listed here.
- 2026-03-26
Doctoral Candidate f/m/d in computational proteomics/bioinformatics with a focus on plant proteomics Candidates must hold a master´s degree in Data Engineering, Data Science, Bioinformatics, Informatics or a related discipline. Available 10/26-09/30
The graduate college “The Proteome that Feed the World”:
Plants are the nutritional basis of life on earth and protein-rich foods from plants are a global megatrend essential for sustaining an increasing human population and counteracting climate change. However, little is known about crop proteomes – the entirety of proteins that execute and control nearly every aspect of life. Therefore, TUM pursuits for the second time the visionary doctoral program with high socio-economic relevance on the topic of “The Proteomes that Feed the World” with the aims:
1. To train and develop future leaders in science, industry and society who excel in research, management and communication. This will be achieved by implementing a professional training and project management structure in which doctoral candidates (DCs) master challenging roles, take on substantial responsibility and acquire important transferable skills.
2. To conduct studies with the proteome atlas of the 100 most important crop plants for human nutrition. This enables an interdisciplinary project with leading expertise in plant science, proteomics and bioinformatics. Added value comes from a large international network of excellent academic and industry partners as well as a vibrant local scientific community.
The project:
Mapping how proteins form and remodel their interaction networks is essential for deciphering the dynamic proteome. Our DC will combine co-expression patterns from the crop proteome atlas, new proteomics data, and protein structure predictions to build a graph neural network that predicts condition-specific protein-protein interactions. High-confidence predictions are expected to feed into protein function classification, shedding light on the uncharacterized and dark proteome. We aim to integrate post-translational modification information mined from the crop proteome atlas, newly generated data, and publicly available resources to complement the network. Ultimately, this project will guide strategies to enhance crop resilience and productivity by leveraging condition-specific networks in plant proteomes. In addition, the doctoral candidate will actively participate in the maintenance and further development of ProteomicsDB particularly in relation to all data acquired in the context of the graduate college “The Proteome that Feed the World”.
Requirements:
Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline. Essential skills include theoretical knowledge of and practical skills in statistical analysis, data mining, data integration, machine learning, programming, backend or frontend development, and database design.
Additional desirable skills include a sound understanding of proteomic or related technologies as well as basic biological and (bio)chemical concepts.
Interest in understanding technologies in proteomics research using mass spectrometers is expected.
We are looking for a self-motivated and broadly interested individual with high potential and a strong sense of responsibility.
Flexibility and the ability to work in a fast-paced environment on multiple scientific and infrastructure projects are essential.
Good inter-cultural and inter-personal communication skills as well as the ability to present in English are also important.
We aim to recruit individuals of the highest potential typically from the top 10% of an academic year.
Our offer:
You will join a young and highly motivated team of interdisciplinary bioinformaticians who use the latest proteomic approaches to gain insight into the biological processes that govern life. TUM is one of the best academic institutions in Germany and offers a stimulating work environment and excellent future perspectives. The positions are available for four years (10/26 – 09/30). Remuneration is in accordance with TV-L E13 according to the professional qualification. You will join an interdisciplinary team of life scientists and bioinformaticians who use the latest proteomic approaches and equipment to better understand plant biology. The TUM is one of the best academic institutions in Germany, a well worked out international program, offers a stimulating work environment and excellent future perspectives.
Equal opportunity:
TUM is aiming to increase the proportion of women and, therefore, expressly welcomes applications from women. The position is also suitable for severely disabled persons. Severely disabled applicants will be given preference if their suitability, qualifications and professional performance are otherwise essentially equal.
Application process:
Applicants should send a dossier containing a motivational statement (max. one page), a curriculum vitae summarizing qualifications and experience, copies of degrees and transcripts of study records, names and the email addresses of at least one referee as a single PDF document and no later than May 30th, 2026 to Prof. Mathias Wilhelm (
Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the data protection information on collecting and processing personal data contained in your application in accordance with article 13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.
Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.
Hinweis zum Datenschutz:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.
Kontakt: Prof. Mathias Wilhelm:
- 2026-03-24
The new de.NBI Quarterly Newsletter has been published. It reports on main de.NBI and ELIXIR-DE issues since January 2026 and future activities.
- 2026-03-03
In a world where sensitive data - from omics to biodiversity to geospatial information - must be protected, SPEs and Trusted Research Environments (TREs) are imperative to conduct secure research. Our latest whitepaper explains how this is enabled in the de.NBI Cloud:
- SPEs combine access control, auditability, and technical safeguards in isolated, use‑case‑specific environments.
- EU & German frameworks (EHDS, GDNG, §64e SGB V) provide legal foundations and requirements for broad yet secure data access, positioning national clouds like de.NBI Cloud as authorized processing hubs.
- Beyond health: SPEs are equally vital for ecological, socio‑economic, and critical‑infrastructure datasets where leakage risks are high.
- de.NBI Cloud is a federated private cloud with ISO 27001‑certified nodes, GDPR‑compliant access, and alignment with EHDS, EOSC, EOSC‑ENTRUST, and ELIXIR—providing a common platform for a scalable, interoperable national ecosystem.
➡️ Dive into the full paper here: https://doi.org/10.5281/zenodo.18788245
- 2026-02-19
Heidelberg Medical Faculty for the Health + Life Science Alliance is offering two jobs:
Full Stack Developer – Health + Life Science Alliance Data Space (w/m/d)
https://www.denbi.de/de-nbi-jobs-portal/2044-full-stack-developer-health-life-science-alliance-data-space-w-m-d
Cloud Engineer – Health + Life Science Alliance Data Space (m/f/d)
https://www.denbi.de/de-nbi-jobs-portal/2043-cloud-engineer-health-life-science-alliance-data-space-m-f-d
- 2025-12-17
de.NBI & ELIXIR Germany and GHGA (The German Human Genome Phenome Archive) are inviting you to the next episode of our joint Webinar Series: Galaxy for analysis of human health data.
This webinar will highlight several new features and tools added to Galaxy over the last year that further increase the platform's usability, in particular for multi-omics human health data.
Specific topics include, among a few others:
- integration of Flexynesis for deep-learning-based exploration of multi-omics data, including cBioportal studies, as a tool in Galaxy
- the new CELLxGENE integration into Galaxy
- new data resources directly accessible from the Galaxy user interface, like Tabula Sapiens reference atlas data
- enhancements around Galaxy's storage options that allow users to bring their own cloud storage and connect it to their Galaxy user account
The webinar will be held by Wolfgang Maier from the University of Freibung. The event is in English, it takes approx. 60 minutes and will be held on 14th January 2026 at 13:00 CET (available afterwards on demand). Attendance is free, but we ask for registration.
- 2025-10-21
This webinar series is a joint venture of GHGA and de.NBI & ELIXIR-DE
DNA methylation plays an important role in gene regulation. Understanding and exploring these epigenetic modifications is crucial for uncovering underlying mechanisms and gaining new insights into many diseases and disorders.
This webinar introduces approaches for analysing methylation data from common platforms such as Illumina arrays and Oxford Nanopore sequencing (ONT). We will cover practical first steps, including data processing, quality control, data visualization, as well as methods and tools for Epigenome-Wide Studies (EWAS) and episignature analyses using R.
Through real-world case studies, we will aim to illustrate and deepen the understanding of methylation analysis in practice.
This webinar is aimed at students, early career researchers, clinicians, bioinformaticians and everyone interested in methylation analysis.
The webinar will be held by Nazanin Mirza-Schreiber from the Institute of Neurogenomics (Helmholtz Zentrum München).
The event is in English, it takes approx. 60 minutes and will be held on the 10th December at 13:00 CET (available afterwards on demand). Attendance is free, but we ask for registration.
- 2025-12-09
We are pleased to announce two new job openings at DKFZ & GHGA, and kindly ask you to help spread the word:
Technical Data Steward / Bioinformatician (m/f/d, E13 TV-L, 100%)
Location: University of Tübingen
Data Steward / Bioinformatiker:in (m/w/d)
Location: DKFZ Heidelberg
If you are interested or know someone who might be, please share these opportunities!
Thank you for your support!
- 2025-11-24
The Computational Plant Biochemistry research group at the IPB is seeking applications for the position as
Research associate computational metabolomics (m/f/d)
Salary group E13 TVL, full-time 100 % (part-time is possible), initially limited until 31.12.2027
to be filled immediately.
Research topic:
As a (bio-) informatician, you will join our research group Computational Plant Biochemistry, which focuses on Computational Metabolomics and develops methods for processing and interpreting mass spectrometry data in the context of plant biochemistry and biodiversity research.
Your tasks:
Your profile:
Our benefits:
How to apply and information:
For further information, please contact Dr. Steffen Neumann , Tel.: +49 (0) 345 5582-1770, e-mail:This email address is being protected from spambots. You need JavaScript enabled to view it. .
Please, submit a single pdf document (letter of motivation, CV, certificates, publication list, etc.) quoting reference number 21/2025 until December 22nd, 2025 toThis email address is being protected from spambots. You need JavaScript enabled to view it. .
Foreign qualifications must comply with German standards (TV-L-EntgeltO Protokollerklärung Nr. 1 Absatz 4) and be certified (equivalence test in Germany, subject to a fee) and presented to IPB Human Resources at the time of hiring: (https://www.kmk.org/zab/central-office-for-foreign-education).
Who we are:
The Leibniz Institute of Plant Biochemistry (IPB) is a non-university research institution of the Leibniz Association on the Weinberg Campus of the Martin Luther University Halle-Wittenberg. As a foundation under public law, the IPB is under direct supervision of the state of Saxony-Anhalt.
The IPB is an internationally recognized research institution and consists of four scientific Departments, additional independent junior research groups, and the Department Administration & Infrastructure (about 200 employees, including about 40 PhD students). Research at the IPB aims to understand the (bio)chemical basis of plant resilience and performance in challenging environments related to climate change. The IPB offers excellent research facilities and state-of-the-art infrastructure to investigate the chemical diversity, biochemical interactions, and biological roles of small natural molecules in plants and fungi, with an emphasis on specialized metabolites, chemical mediators, and relevant molecular networks of functional gene and protein regulation (https://www.ipb-halle.de/en/).
Diversity, family and equal opportunities:
The IPB aspires to the goal of equal opportunity, diversity, and the promotion of work-life balance as it was awarded the certificate "Total E-Quality". In addition, the IPB is a member of the nationwide company network "Success Factor Family" and of the “Diversity Charter” (Charta der Vielfalt).
Applications from disabled persons or applicants with equivalent status are expressly welcome.
Further information can be found at: https://www.ipb-halle.de/en/institute/
Data protection:
Please note, the data protection information for applicants (m/f/d) according to Article 13 and 14 GDPR on data protection processing during the application process:
https://www.ipb-halle.de/en/career/data-protection-information-for-applicants/
Research associate computational metabolomics (m/f/d)
Salary group E13 TVL, full-time 100 % (part-time is possible), initially limited until 31.12.2027
to be filled immediately.
Research topic:
As a (bio-) informatician, you will join our research group Computational Plant Biochemistry, which focuses on Computational Metabolomics and develops methods for processing and interpreting mass spectrometry data in the context of plant biochemistry and biodiversity research.
Your tasks:
- Development of methods for the characterization and identification of metabolites
- Adaptation and use of statistical methods to detect patterns and relevant connections in metabolomics data
- Activities and Training in the framework of de.NBI and ELIXIR
Your profile:
- You hold a university PhD in bioinformatics, computer science or a related discipline
- experience in algorithms, software engineering and statistics
- You are able to program in the statistics framework R, and have worked in Python and Java
- Knowledge of metabolomics or chemistry will be an advantage
Our benefits:
- Excellent working conditions in an international environment
- Flexible and family-friendly working hours and possibility of home-office
- Offer of professional training courses and measures for skill improvement
- Compensation according to TV-L (including annual special payment)
- Contribution to your company pension plan (VBL)
- On-site opportunities for health promotion
How to apply and information:
For further information, please contact Dr. Steffen Neumann , Tel.: +49 (0) 345 5582-1770, e-mail:
Please, submit a single pdf document (letter of motivation, CV, certificates, publication list, etc.) quoting reference number 21/2025 until December 22nd, 2025 to
Foreign qualifications must comply with German standards (TV-L-EntgeltO Protokollerklärung Nr. 1 Absatz 4) and be certified (equivalence test in Germany, subject to a fee) and presented to IPB Human Resources at the time of hiring: (https://www.kmk.org/zab/central-office-for-foreign-education).
Who we are:
The Leibniz Institute of Plant Biochemistry (IPB) is a non-university research institution of the Leibniz Association on the Weinberg Campus of the Martin Luther University Halle-Wittenberg. As a foundation under public law, the IPB is under direct supervision of the state of Saxony-Anhalt.
The IPB is an internationally recognized research institution and consists of four scientific Departments, additional independent junior research groups, and the Department Administration & Infrastructure (about 200 employees, including about 40 PhD students). Research at the IPB aims to understand the (bio)chemical basis of plant resilience and performance in challenging environments related to climate change. The IPB offers excellent research facilities and state-of-the-art infrastructure to investigate the chemical diversity, biochemical interactions, and biological roles of small natural molecules in plants and fungi, with an emphasis on specialized metabolites, chemical mediators, and relevant molecular networks of functional gene and protein regulation (https://www.ipb-halle.de/en/).
Diversity, family and equal opportunities:
The IPB aspires to the goal of equal opportunity, diversity, and the promotion of work-life balance as it was awarded the certificate "Total E-Quality". In addition, the IPB is a member of the nationwide company network "Success Factor Family" and of the “Diversity Charter” (Charta der Vielfalt).
Applications from disabled persons or applicants with equivalent status are expressly welcome.
Further information can be found at: https://www.ipb-halle.de/en/institute/
Data protection:
Please note, the data protection information for applicants (m/f/d) according to Article 13 and 14 GDPR on data protection processing during the application process:
https://www.ipb-halle.de/en/career/data-protection-information-for-applicants/
Address:
Leibniz-Institut für Pflanzenbiochemie
Weinberg 3
06120 Halle
Leibniz-Institut für Pflanzenbiochemie
Weinberg 3
06120 Halle
- 2025-10-21
This webinar series is a joint venture of GHGA and de.NBI & ELIXIR-DE
This webinar is intended for researchers who are new to the field of spatial transcriptomics. It provides an introduction to commonly used image-based spatial omics technologies and demonstrates the data processing workflow through a practical example. Topics include steps such as gene panel design, cell segmentation, doublet detection, and others.
Given the complexity of spatial transcriptomics, the webinar will focus primarily on data preprocessing steps and will only briefly touch upon downstream analyses such as domain detection.
The webinar will be held by GHGA workflows expert Florian Heyl. The event is in English, it takes approx. 60 minutes and will be held on the 20th November 2025 at 13:00 CET (available afterwards on demand). Attendance is free, but we ask for registration.
- 2025-10-29
A doctoral and a postdoctoral position in computational biology / biomathematics / biosystems engineering are available in Steffen Klamt’s group at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg (Germany). Our group develops computational methods and tools for analyzing and redesigning the microbial metabolism, with applications in metabolic engineering and bioprocess optimization.
Your tasks
For two interdisciplinary research projects in the field of computer-aided metabolic engineering, we are seeking a talented doctoral student and a postdoctoral researcher. Your responsibilities will include:
- Building stoichiometric / kinetic metabolic models of selected microorganisms.
- Applying various computational methods to analyze these models and identify suitable intervention strategies maximizing the synthesis of specific products.
- Using experimental data to improve the models and to support an iterative design-build-test-learn cycle.
- Integrating concepts from bioprocess optimization with metabolic engineering strategies.
Your qualification
The candidates should have an excellent degree or/and experience in at least one of the following fields:
- Computational biology
- Systems biology
- Biomathematics
- Biosystems and metabolic engineering
- Bioprocess engineering
Experience in the following areas is particularly advantageous:
- Mathematical and kinetic modeling of metabolic networks
- Mathematical optimization (linear and mixed-integer (non-)linear programming)
- Programming experience in MATLAB and/or Python
- Model-driven strain design and metabolic engineering
- Bioprocess and biosystems engineering
Our offer
- Fixed-term employment contract in the public sector (German TVöD E13)
- Working in a creative and inspiring atmosphere
- Opportunities for networking with international partners
- Research with state-of-the-art equipment
- Compatibility of family, career and caring for relatives through flexible working hours and appropriate conditions
- Health-promoting and health-maintaining measures as part of our occupational health management
Your application
Interested applicants are encouraged to submit their applications as soon as possible. However, there is no strict deadline, the call will remain open until the position is filled. Applications should be submitted as a single PDF file, including
- An application letter
- Curriculum vitae (CV)
- Academic certificates
- A brief description of scientific achievements (if applicable)
- Contact information for two references (if possible).
Applications can be submitted at https://jobs.mpi-magdeburg.mpg.de/zdn86
More information about our group and research can be found on the following website:
http://www.mpi-magdeburg.mpg.de/arb.
Contact person for further information: Dr. Ing. Steffen Klamt (+49-391-6110-480).
- 2025-09-30
In this webinar, you can learn more about how the German Network for Bioinformatics Infrastructure (de.NBI) and ELIXIR Germany are at the forefront of advancing bioinformatics and creating a robust Research Data Management (RDM) ecosystem in the life sciences. As part of a European ELIXIR infrastructure, they provide a comprehensive portfolio of services, tools, training opportunities, and platforms supporting researchers in managing, analyzing, and sharing their data efficiently and securely.
The de.NBI Cloud works hand in hand with the recently established de.KCD (Competence Center for Cloud Technologies and Data Management). This center provides expertise, training, and best practices in cloud computing and RDM. Together, they deliver scalable computing and storage resources that meet the growing demands of big data, reproducible research, and interdisciplinary collaboration.
This presentation offers a practical introduction to getting started with the de.NBI Cloud, including step-by-step guidance on registration, project proposal submission, and gaining access to resources. The SimpleVM self-service platform of the de.NBI Cloud enables researchers - even with minimal technical background - to easily launch, configure, and manage virtual machines tailored to their computational projects.
Looking ahead, the webinar will highlight how the de.NBI cloud intends to drive forward the integration of the de.NBI Cloud into RDM frameworks, with a strong focus on implementing the FAIR data principles. Future tasks will include best practices for organizing project data, the use of cloud-based workflows, and secure data exchange between institutions. In addition, we plan to expand our focus on the responsible handling of sensitive data in order to keep pace with advancing data protection and compliance requirements.
This webinar is aimed at students, early career researchers, clinicians, bioinformaticians and everyone interested in using the de.NBI Cloud.
The webinar will be held by Daniel Wibberg from Forschungszentrum Jülich (de.NBI & ELIXIR-DE) .
The event is in English, it takes approx. 60 minutes and will be held on 14th October 2025, 13:00 CET (available afterwards on demand). Attendance is free, but we ask for registration.