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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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international partners, therefore the candidate is expected to be multitasking as projects will progress in parallel. Active participation in other ongoing projects in the lab and clear communication of research
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sustainability across applications. In parallel, we advance microgrid technologies, supporting developing countries in achieving climate neutrality by integrating photovoltaic systems, biomass-based combined heat