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to introduce state-of-the-art AI tools, accelerating technology transfer and hands-on learning opportunities. Design and deploy high-performance AI systems using GPUs and hardware accelerators. Job Description
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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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, including MPI, OpenMP, GPU programming or distributed computing. Scientific workflow systems and multi-physics coupling. IMAS, including IDSs, the Data Dictionary and Access Layer. MUSCLE3 or similar workflow
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part of a project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a
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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
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(e.g., PyTorch), including model training, evaluation, and experimentation. Familiarity with distributed or accelerated computing environments (e.g., GPU‑enabled systems, shared compute clusters
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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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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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Sciences of the University of Strasbourg. Close collaborations with the various project partners are also planned throughout the PhD. A dedicated computer equipped with high-performance GPU cards will be
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port scientific applications to maximize performance across CPU, GPU, memory, storage, and I/O. Contribute technical expertise to faculty projects through the RCC Consultant Partnership Program and other