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Berlin. The position is part of the research group QUALITY.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project “PhytoM” is has
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
Evolution or Computational Biology (salary grade 13 TV-L, 100%) to commence on January 1, 2026. The position will initially be filled for three years. In case of a positive evaluation, the position can be
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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
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courses on MBSE Conducting literature research in the context of MBSE and preparing it for projects and training courses What you bring to the table Degree in computer science, mechanical engineering
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/ Applied Economics The initial appointment will be 2 years with the possibility of extension. Salary is in accordance with the German State Regulated Public Salary Scale (starting at TV-L E13 2/3). Tasks
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Join our team as a Research Associate (m/f/d) in the research area of process engineering full-time (39.2 hr/week), fixed term for 3.5 years. Hiring is planned for 01.01.2026. As part of
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, or biomolecular systems. The research program should connect to the wider Bonn science landscape and should facilitate close collaborations within the Department and the university’s Transdisciplinary Research
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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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cutting-edge structural, computational and systems biology approaches, including combining high throughput perturbations (genetics and chemical) to multi-modal readouts (cellular and omics), to gain