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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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-driven techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel
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(ACL) and other knee-related injuries. You will integrate and analyze large-scale clinical registry data in close collaboration with Sahlgrenska University Hospital, aiming to create predictive
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4 Oct 2025 Job Information Organisation/Company CNRS Department Institut de Biologie Intégrative de la Cellule Research Field Chemistry » Biochemistry Physics » Biophysics Biological sciences
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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infrastructure that enables secure, large-scale data integration across Europe. The postdoc will focus on two pillars: Multi-omics data integration: developing robust pipelines and frameworks for preprocessing
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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behavioral plasticity across generations. More information about the research group is provided at https://abentz.wixsite.com/bentzlab . The position is funded by an active NSF grant. Applicants are expected
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), using large-scale real-world data. This PostDoc position is part of a ZonMw-funded project on long-term risks in patients with post-COVID compared to individuals with similar complaints after other viral