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developments; Significant experience with the development of custom modules using GPU-accelerated APIs for deep learning (e.g., Pytorch); and Publications in top-tier venues in Machine Learning and/or Signal
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-related factors of physical function and sarcopenia in older African adults. MUFASSA is a sub-programme of the Fractures in Sub-Saharan Africa: epidemiology, economic impact and ethnography (Fractures-E3
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Primary Ciliary Dyskinesia Group An exciting opportunity has arisen to join a national research programme with the aim of speeding up the diagnosis and treatment of rare respiratory diseases
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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the top 1% of universities worldwide. The post will be based in the Primary Care Research Centre which has a very active programme of applied health research. As a university we aim to create an environment
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engineering programme was rated the best in the UK by the 2022 Guardian University Guide, and we were ranked 4th nationally for engineering in the 2021 Research Excellence Framework (REF). By joining us, you
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demonstrating the impact of the LifeLab programme. A specific focus will be evaluating the young researcher training programme (YRTP), exploring its potential long-term impacts on young people's lives and
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You will be directly involved with the UNIFORM (UNIfying Grid-FOllowing And Grid-foRMing Control In Inverter-based Resources) project, a collaborative programme with four academic and industrial
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(R3) Country United Kingdom Application Deadline 17 May 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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a comprehensive centre for cancer treatment and research. It is designed to fulfil the requirements for an out-of-programme experience for a specialist medical trainee in oncology, breast surgery