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to revolutionize the high-power magnetic components (HPMCs) industry with innovative planar magnetic technologies that are more efficient, affordable, and sustainable. As global electrification accelerates, outdated
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Post Type: Part Time Hours per Week: 20.6 Contract Type: Fixed Term - Up to 10 months duration Closing Date: 23.59 hours BST on Wednesday 09 April 2025 Reference: DP-1842 Harper Adams University
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Harper Adams University are looking to employ a part time Post Doctoral Research Assistant who will play a key role in the second phase of the enhanced TFP project, which aims to estimate a
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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics,...
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facility belonging to SciLifeLab, part of a national infrastructure for research in life science. The creative and research-intense environment contributes to a broad knowledge-base as well as cutting-edge
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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have become omni-present in our daily life, and they are essential in the green transition as the main components in wind turbines and electric motors in e.g. electric cars. However, the strongest
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, complemented by publicly available data, to examine transcriptomic dependencies on transcription factor abundance and somatic mutations. These efforts aim to enable pan-cancer subtyping and uncover regulatory
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for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT
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techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as