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. In the project you should: Design and implement enzyme libraries using generative AI tools such as RFdiffusion2 or BoltzDesign. Perform molecular dynamics simulations to assess enzyme-substrate
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analysis, using cutting-edge techniques including dynamic contact angle measurement, X-ray diffraction, mid-infrared spectroscopy, and synchrotron-based approaches to understand the mechanisms driving SWR
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dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair
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adaptive, automated decision-making tools (e.g., traffic signal control, human–vehicle coordination, logistics optimization, route planning) using reinforcement learning in dynamic environments. Explanation
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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position within a dynamic Emmy Noether group A central role in a cutting-edge multi-omics project with direct translational relevance Individual mentoring, conference participation, and career development
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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offer: • A dynamic and interdisciplinary team with a strong focus on translational cancer re-search, tumor-immunity and genomics and close cooperation with clinicians • Excellent core facilities to
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will join the Molecular Phylogeny and Evolution team and will work directly with the members of the FunAdapt project. The ISEM's Molecular Phylogeny and Evolution team offers a pleasant and dynamic
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atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR) A modern and dynamic university. High-quality equipment. Close ties to the business world and to