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Field
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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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appropriate information in the laboratory information system, and scanning necessary paperwork into the laboratory information system. Distribute the referred specimens to the appropriate pathologist. 25
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will contribute to areas such as the design and analysis of algorithms (e.g. randomized, quantum, approximation, property testing, online, streaming, sublinear, fine-grained, distributed/parallel) and/or
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; parallel/distributed programming and/or solid UNIX skills Proven experience operating Machine Learning (ML) in production. Able to design, automate, and maintain end-to-end ML lifecycles, including
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: Information Systems Engineering: retrieval, knowledge representation, requirements specification, applications programming Health Informatics Artificial intelligence and cognitive models Sequential, parallel
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the creation of analytical reports to achieve client, program, and business objectives for resource optimization. Work closely with internal technology teams and vendors to deliver tools and system solutions
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
We welcome candidates with a master (or equivalent title) in computer science, experience with parallel programming, distributed data processing, deep learning or numerical solvers. Expected
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risk management (ERM) program. The Director, ERM is part of the ERA core leadership team responsible for developing and executing the ERM vision and strategy in alignment with ERA’s overall vision and
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reports to the Director of Advanced Research Computing, Security, and Information Management (ARCSIM) and will help support the needs of the UMaine research community and its collaborators by enabling and
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Abilities: Experienced in heterogenous computing with GPU accelerators using one of the programming models: CUDA, HIP, SYCL, Kokkos, OpenMP, OpenACC and similar. Familiar with distributed parallel computing