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Field
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Engineering, or a related field Strong experience in building and optimizing AI systems using PyTorch, TensorFlow, or JAX Practical knowledge of NVIDIA GPU programming (CUDA) and experience with inference
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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partner for Boston College faculty, research departments, and programs in advancing the Boston College research mission, and will work with the director develop long-term plans to support faculty research
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transcriptomics. Innovative visualization tools and highly automated analytical pipelines powered by GPU technology. Mentorship from experienced scientists in data analysis and management, with an expertise in
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sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
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to claim: -an unmatched faculty. -degree and open enrollment programs offered on three continents. -a global body of nearly 56,000 accomplished alumni. -strong and growing corporate relationships
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that serves 15,000 users annually. Co-located with the Molecular Foundry, NERSC supercomputing center, and Berkeley Lab's materials and chemical sciences programs, it provides an ideal collaborative environment
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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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be highly organized, have excellent attention to detail, and possess sound scientific judgment. The position will require effective management of their own time with the ability to plan, coordinate
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excellent attention to detail, and possess sound scientific judgment. The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks