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Competitive athletes of various standards are continually striving to enhance exercise performance outcomes. A common approach to enhance exercise performance and post-exercise recovery is the consumption of dietary supplements. There are several macronutrients and micronutrients with...
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-governmental organisations. The Centre also provides a robust platform for doctoral training in its key thematic areas. The Centre invites applications for five fully funded PhD studentships at the University
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are seeking to award full PhD scholarships to outstanding candidates in several disciplines, including: Accounting: seeking top-rated PhD applications from candidates with interests in all areas of accounting
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We are seeking a highly motivated candidate to undertake a PhD program titled "3D Temperature Field Reconstruction from Local Temperature Monitoring in Directed Energy Deposition." This exciting
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PhD Studentship available in the EPSRC Centre for Doctoral Training in Robotics and AI for Net Zero (RAINZ) This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and
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NPL, the UK’s national metrology institute, is developing a fully functioning, thoroughly characterised, local area quantum network (QLAN) linking heterogeneous nodes across its site. It will make this testbed available to users for testing hardware and applications. NPL will lead on the testing...
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Ambrosio-Albala - P.Ambrosio-Albala@leeds.ac.uk Dr. Harriet Thew - H.Thew@leeds.ac.uk Project summary This PhD is affiliated to the JUST (Joined-Up Sustainability Transformations) Centre, a new multi
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds [4ff9-7c9a-edd-cc94] Project Title: Image guided intervention supported with
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parameters, thus saving memory by avoiding the storage of intermediate activation values. See recent research results obtained by Dr Guoqiang Zhang in [2,5,6]. This PhD project is about effective training and
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can