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. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). Strong programming ability in C++ or a related language. Experience in
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frameworks like PyTorch, Hugging Face, sklearn, tensorflow. Excellent verbal and written communication skills Experience with GPU training and handling large medical datasets e.g., large magnetic resonance
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and researchers. The Team The division of Research IT provides research-focussed, specialist computing infrastructure, software engineering, data science, application support and training to researchers
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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is on mathematics and computation. At the heart of the project are value-based decision problems. Here, an agent receives noisy information about the value of several possible options. The agent must
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scale (multi petabyte) data storage infrastructure which may include 3rd party filesystems, management tools and interfaces. • High performance computing clusters. Currently slurm-based with CPUs, GPUs