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facilities. Core responsibilities include the deployment and maintenance of small-scale HPC and compute nodes, GPU workstations, Linux and Windows servers, research data storage and backup solutions
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containerisation, orchestration platforms, and CI/CD practices. Benchmark, profile, and optimise AI applications across software and hardware layers to maximise GPU cluster efficiency Build research community
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Application Deadline 23 Nov 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 related to
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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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shaping and imaging Proficiency in GPU programming (CUDA/OpenCL) and strong coding skills in C/C++ and Python Practical experience with Spatial Light Modulators (SLMs) and wavefront shaping techniques Solid
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likely to be required include advanced Python or c++ with experience in developing and fine-tuning foundation models for modelling tasks, including use of HPC systems and multi-GPU programming. Knowledge