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at MGHPCC facility (i.e., data center, compute, storage, networking, and other core capabilities). Deploy, monitor, and manage CPUs, GPUs, storage, file systems, networking on HPC systems. Develop and deploy
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communication systems which have different performances under different channel conditions. - Providing high-speed underwater communication, for industrial applications in real time underwater communications
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well as the newly launched Center for Generative AI and its associated GPU cluster consisting of 600 GH200 nodes. Qualifications All candidates must hold a Ph.D. or equivalent degree in Chemistry, Molecular Biology
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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
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profiler . Experience with GPUs is a bonus. Of course, you need fluency in written and spoken English to communicate your ideas in this interdisciplinary project. Note that we expect from candidates either
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develop various tools that make the design of microfluidic chips easier and solve, e.g., routing and placing problems under different constraints, depending on the use case. Simulation: We use and develop