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, transcriptomic, proteomic, and circulating biomarker data. The lab provides access to state-of-the-art computational infrastructure, including high-performance computing (HPC) environments, GPU-enabled systems
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turbulent flow simulations. 3. Background in numerical methods and scientific computing. 4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms
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faculty onboarding, consultation, documentation, and training activities that help research teams become productive users of HPC and GPU resources Assist faculty in identifying and pursuing external
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computational modelling of additive manufacturing and develop high-performance GPU-based CFD solvers. Qualifications • With PhD degree • Strong research experience in developing GPU-based
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resources, including 2 HPC clusters with a combined 180,000 cores, 600 GPUs, and 60PB of raw storage. FRFs may be eligible for subsidized housing within walking distance of the CCA. These positions will be
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research budget and have access to the Flatiron Institute’s powerful scientific computing resources, including 2 HPC clusters with a combined 180,000 cores, 600 GPUs and 60PB of raw storage. FSRFs may be
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· Experience with multi-GPU or distributed training is a plus · Ability to work independently as well as part of an interdisciplinary team in a fast-paced environment, while making necessary connections
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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the wider Faculty of Engineering. We are keen to attract candidates with extensive experience in DEM. Experience in DEM of clays and of using YADE would both be distinct advantages. About you You will
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hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.