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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The incumbent
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, or decision-making in autonomous driving or robotic systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents
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been used in the remediation of other pollutants with success. In this project, we aim for a controlled PFAS degradation by using engineered enzymes and developing immobilized enzyme reactors
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journals. Proven experience with large-scale genomics or functional genomics datasets. Strong programming skills in Python and/or R, with experience in version control (e.g., Git) Familiarity with machine
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. Therefore, the command of at least two of the University languages is necessary: French, English, German We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff
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for the post. Examples include: Demonstrated experience in in silico protein analysis, including structural modelling, domain architecture prediction, and identification of signal peptides, processing sites, and
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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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chromatin repression. You will work primarily with mouse embryonic stem cells (mESCs) and gastruloid differentiation, combining reporter-based assays with controlled lineage induction to uncover lineage