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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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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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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
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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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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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programs at UTN are offered in English. German and English are the languages of work in administration, teaching, and research, while the official and legal language is German. Digital technologies, AI and
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The Fraunhofer Institute for Molecular Biology and Applied Ecology IME conducts applied life sciences from the molecule to the ecosystem. It is our vision to pave the way to a sustainable future
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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a
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%, limited for 3 years, start: as soon as possible) in the trilateral program “Future Proofing Plants to a Changing Climate” (funded by DFG, UKRI-BBSRC, NSF, USDA-NIFA) Who we are: The research group Symbiosis