512 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions in United Kingdom
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dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing
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Research Assistant/Research Associate* in Cardiovascular Epidemiology (BHF Scholarship) (Fixed Term)
rates of costly late-stage trials. Translational epidemiology: improve CVD prevention and management in the UK and globally by developing and evaluating risk assessment tools, strategies and interventions
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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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
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Do you want to work with healthcare data and develop your data science skills? Do you want to make a difference in healthcare by understanding the reasons why an implant fails or succeeds? Around 1
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
University Research Abstract: The focus of the proposed PhD study is the design and development of an inter-connected cyber-physical autonomous robotic system for monitoring, inspection, and maintenance
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access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in
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. Research Training Support Grant. The Faculty of Science AI DTC is an initiative by the University of Nottingham to train future researchers and leaders to address the most pressing challenges of the 21st
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and Primary Care and Medical Genetics. They will support and conduct analyses of complex datasets, involving both the development of novel analytical methods and the application of existing techniques
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literature relating to injury risk mitigation in relation to full-time women’s football. The candidate will also develop a multifactorial approach to monitoring responses to training and match-demands of full