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analysis results integrated with their associated genomes and accumulated over more than a decade of research. Genome and protein foundation models are advancing quickly, yet almost none of that progress has
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-being and achievement - enabling everyone to unlock their potential and contribute with confidence. Job Summary Manufacturing is a highly complex field involving materials, machines, and processes
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Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and
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to join our group of neuroscientists seeking to solve grand challenges in neuroscience, healthcare, and computing. The successful applicants will contribute to this effort by creating new AI/ML models
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of simulation-ready models. Experience with FEM/FDTD spatial discretization, geometry or voxel-model preparation, material-property assignment, and mesh/grid-quality assessment. Experience with Sim4Life, COMSOL
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Science Award -Produce physical models, mock-ups, and prototypes using the Faculty of Design and Art workshops and unibz Fablab -Carry out iterative material exploration and craft-based experimentation in
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-driven and machine-learning models. The role will also involve conducting materials synthesis and electrochemical studies, troubleshooting and improving automated workflows, analyzing research data, and
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state-of-the-art experimental and computational models for solving water resource problems worldwide. CHL research and development addresses water resource and navigation challenges in a variety of
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(PDX) models. The position requires proficiency in mouse handling and welfare and in repeated drug administration by oral gavage, intraperitoneal injection, and intravenous tail-vein injection
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modeling of free-electron-driven EUV nanophotonics. Working closely with experimentalists, the research fellow will lead the study of generating and manipulating EUV radiation on the nanoscale, towards