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& GPUs — and deep integration with clinical data including electronic health records A diverse array of ongoing research, education, patient care, and community centered activities that require increasing
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Empire Innovation Professor (Associate Professor) Artificial Intelligence in Biomolecular and Drug D
. This position offers substantial resources, including access to the SeaWulf computing cluster and cutting-edge GPU clusters housed at IACS and CEWIT. The Empire Innovation Professor will join a robust community
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for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations. This advancement will enable
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familiarity with Deep Learning, including PyTorch would convey a significant advantage. They will have access to our in-house GPU-enabled High Performance Computing platform as well as national HPC resources
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quantitative genetics, machine learning, bioinformatics, and population genetics, and their applications in an agricultural setting A modern dedicated computational infrastructure (CPUs & GPUs) Well-developed in
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provided with the working material (working station, PC and access to local GPU clusters) as well as with a discounted rate for the close-by Inria canteen, together with a gross salary of 2650 euros/month
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heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations. This advancement will enable high-fidelity
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on them Work on the design, development and operation of GPU and compute cluster systems together with an interactive team Serve as the first point of contact for users for help or problem analysis and
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cores, including GPU cores, for data processing, analysis and presentation using a wide range of software. What you will be doing… As an SLRS at the Crick, you will: Support Crick users’ cryo-EM research
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA