340 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges
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supervision from an experienced team spanning Manchester Met and Chester Zoo. You will benefit from a skills training programme through our Doctoral College, and will be based in the Faculty of Science and
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. Programming experience (e.g. Python, MATLAB, C/C++). Desirable (but not required): Background in control theory, dynamical systems, optimisation, or machine learning. Experience with robotics, ROS, simulation
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Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after
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appraisal, to ensure that design choices do not undermine the sustainability imperatives driving the transition to green-fuel propulsion in the first place. Research Aims This PhD programme addresses
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our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme
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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, networking and career
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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at the leading international conferences in the field. The ideal candidate should have an enthusiasm for experimentation, an aptitude for building and programming measurement and testing setups and natural
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply