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Field
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will be viewed highly favorably. Experience with GPU acceleration or code parallelization paradigms (e.g., MPI, OpenMP, CUDA). FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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, including a GPU cluster, and strong international networks. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of three years
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at the interface of AI, imaging, microbiome research, and laboratory automation within a Helmholtz-wide collaboration. Access to state-of-the-art live-cell imaging, microfluidics, laboratory automation, and GPU
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managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a
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. Design and implement distributed and parallel approaches that efficiently leverage large-scale computing resources, including heterogeneous CPU/GPU systems, along with the possibility of working with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
computing environments (e.g., GPUs, distributed training). Experience mentoring graduate or undergraduate students. Special Physical/Mental Requirements NA Special Instructions For information on UNC
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, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning
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numbers effects beyond what is currently possible. • Perform mathematical and numerical analysis of tensor network methods. • Work on GPU implementation of tensor network solvers. • Disseminate research
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programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience with software development. Experience with use of GPUs, multi-core CPUs, advanced computing (e.g., QPUs
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, tactile, vision) into policy learning pipelines. GPU-parallel simulation, large-scale teleoperation, or differentiable physics. Interested applicants are invited to send in their full CV/resume, cover