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First Stage Researcher (R1) Application Deadline 1 May 2026 - 21:59 (UTC) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Experience with parallel programming (High Performance Computing experience is a plus) and hybrid computing (on prem and in the cloud) Familiarity with cloud services (such as AWS S3/Glue/Athena/Lambda, Azure
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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access restrictions. In parallel, AI-driven services are increasingly deployed in a distributed fashion, with inference spread across cloud, enterprise domains, and edge locations close to data sources and
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occupational/technical programs and university-parallel/college transfer programs. The Coordinator of Work-Based Learning (WBL) is responsible for developing, implementing, and managing work-based learning
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, Statistics, Artificial Intelligence, Parallel and Distributed Systems, Cryptography, Computer and Network Security, Computer Vision, Image Processing, Natural Language Processing. Job Requirement Candidates
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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Sheffield to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will
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of AI models and HPC applications, focusing on GPU-enabled computing. Implement parallel processing, distributed computing, and resource management techniques for efficient job execution. Integration and
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- Knowledge and experience with Python, Fortran and/or GPU computing - HPC and parallel libraries such as OpenMP and MPI - HPC parallel IO libraries such as HDF5 or NetCDF - Experience with supercomputer tools