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including heterogeneous accelerator devices such as GPUs, DSPs or FPGAs, requiring software to cope with concurrent and parallel synchronous and asynchronous computation.; The emergence of connected
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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
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Emirates Application Deadline 31 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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at the Department of Informatics. Position as Postdoctoral Research Fellow available at the Department for Informatics with the research group Digital Signal Processing and Image Analysis (https://www.mn.uio.no/ifi
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Classification Title: Lecturer/Assistant Instructional Professor Classification Minimum Requirements: PhD degree in Geography, Geographic Information Science, Data or Computer Sciences, or a related
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. in physics, bioengineering, or a closely related field. Preferred Qualifications Extensive experience in Monte Carlo simulation, GPU-based parallel computing, and image reconstruction techniques
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Generative AI Labs (GAIL), translating cutting‑edge research into working open‑source prototypes and scalable tools. They collaborate closely with Wharton Computing, faculty researchers, and external partners
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together more than 400 researchers across disciplines. The collaboration provides access to substantial computational resources (GPU nodes), advanced high-throughput instruments (including a FACS, mass
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including knowledge of PyTorch, Tensorflow, Pandas, Scikit-learn and/or Numpy. Knowledge of GPU-based computing, including multi-gpu/multi-node parallelization techniques. Fluency in spoken and written
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, OIT/UAHPC and external partners to develop software and tools to support hydrologic modeling, data analysis and scientific computing. Builds, optimizes, and maintains complex software applications using