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Field
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! This position resides in the Emerging Technologies & Computing team in the Research Computing group in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL). The Emerging
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Detail Information Position Summary The Grant Lab at the University at Buffalo is seeking a highly skilled Postdoctoral Fellowto lead the computational development of a novel generative AI framework
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experiences on computer vision • Strong programming skills in using Deep Learning tools like PyTorch and GPU clusters. • Good written and verbal communications. • Open to Fixed Term Contract
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research. What about computing power? Well, BOLD also has access to national compute resources (3M GPU hours on Isambard for the first 1.5 years) and we are working hard to get to 5000 H100 equivalent
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Looking For Master’s or PhD degree in Electrical Engineering, Communication Engineering, Computer Science, or related field. Proven track record of research contributions in wireless communication
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trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
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evaluating them with clear performance criteria. Familiarity with real-time systems, embedded computing or GPU optimisation. Strong problem-solving and analytical skills. Fluent English, both written and
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
, operate, and scale HPC clusters and GPU resources to support computational biology, genomics, and machine learning workloads. Manage virtualization and containerization platforms (VMware, KVM, Docker
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dedicated computing resources (3D visualization workstations, GPU servers). The research will be conducted in close collaboration with Philippe Nghe's team (Laboratory of Structural Cell Biology at École
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bridging (e.g., JESD204C/eCPRI), and CUDA coding for GPU acceleration. Knowledge of RF calibration, test automation, and signal integrity in a research or prototyping context. Track record of peer-reviewed