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Field
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candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and verification, and
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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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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical
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environments, including job scheduling, resource allocation, data movement, storage, and scalable GPU-enabled computation Required Qualifications Educational Requirements Ph.D. earned within the last five (5
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to Search Postdoctoral Research Associate - Extreme NLO Interactions in Semiconducting Materials Posting Number req27178 Department James C Wyant Coll Optical Sci Department Website Link https
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independence in research. It is also appreciated if you also have some pedagogical experience. Knowledge of and skills in MPI and GPU programming, along with experience running large-scale computational
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pipelines). Familiarity with high-performance computing (GPU, CUDA, Slurm, etc.). Notions of full-stack software development or a willingness to develop these skills. You possess strong problem-solving and
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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Details Title Postdoctoral Fellow-Computational Biologist School Faculty of Arts and Sciences Department/Area Stem Cell and Regenerative Biology Position Description The Arlotta lab, in
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plant genomics and AI. Computational ressources, including the GenomeDK high-performance computing cluster, with growing capabilities such as high-memory nodes and state-of-the-art GPUs