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core facilities (including high-performance computing, cryo-EM, genomics, and metabolomics), and a culture of fearless, cross-disciplinary inquiry. The School of Life Sciences invites applications
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one or more of the following areas: Large Language Models, Generative Models (AIGC), Natural Language Processing, Computer Vision, or High-Performance Computing. Solid programming skills in Python and
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experimentation that combines life sciences with nanoscale phenomena, supporting the cutting-edge research activities of multiple ICN2 groups. The successful candidate will be responsible for overseeing
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now invites applications or nominations for multiple faculty positions at all ranks (Professor / Associate Professor / Assistant Professor) in the Thrust Area of Sustainable Energy and Environment (SEE
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to well-known open-source projects or a personal portfolio of impactful open-source research code. Experience with large-scale distributed training and high-performance computing (HPC) environments.