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quantitative and analytical skills. Experience with programming and data analysis (preferably in R; experience with Python, Julia, Matlab, or similar is also valuable). Experience in using AI to operate said
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the population level influence the overall functioning of the ecosystem (food webs), and finally at the marine landscape level, i.e. across several interconnected ecosystems. The results will help to prioritise
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Starting date: 01.10.2026 This research center is part of
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-oncological risk assessment Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with project partners and regular presentation of results Your profile: M.Sc. or a
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protein production, purification and reconstitution in proteoliposomes - Mammalian cell culture (cell models, including iPSC-derived cell lines) - Biochemical analysis using functional assays
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benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
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sample preparation, extraction, and clean-up; iii) detecting and identifying contaminants using LC-HRMS; iv) performing semiquantitative analysis; and v) applying effect-directed analysis (EDA) to link
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English. Become part of an international community of scientists in Germany's vibrant Rhine-Ruhr metropolitan region. This unique program offers an intensive interdisciplinary approach, with a special focus
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analysis software); - good skills in research methods and data analysis; - strong writing skills in French; a good command of scientific English will be appreciated; - ability to work as part of a