547 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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intended to invite and include. You may have or be close to completing: An undergraduate degree involving some work with data in any programme of study (e.g. Geography, Sociology, Health Sciences, Business
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | about 2 months ago
in developing health innovations. Candidates must have a strong academic background in Psychology, Neuropsychology, Neuroscience, Computer science, Speech and Language Therapy or related disciplines
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on percolation network of molecules and semiconductor processing. The post holder will be located in
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provides a thriving research environment for postgraduate researchers, fostering a strong sense of community across disciplines. PGRs benefit from training through the Researcher Academy Training Programme
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. This post forms part of an international multi-site programme with the title: Sociology of Authoritarian Law: Insights from Central Asia (SOCIAL), which is based at the University of Lund. It is funded under
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individual with a 1st or a 2:1 degree from Mechanical, Manufacturing, Mechatronics Engineering, Computer Science or other relevant field. The candidate should have excellent analytical and communications
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(fungal genetics and infection biology) and Dr Fred Warren (gut microbiome and food digestion). The project includes a three-month industrial placement at ENOUGH, which is developing the proprietary
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consumable costs relevant to the research project. Home and international applicants are welcome to apply. Successful international candidates are required to fund the difference between home fees and
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the PhD studies in the Faculty of Humanities in the academic session 2022-23. Funding provider Engineering and Physical Sciences Research Council Level(s) of study This funding is available to students
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high 2:1 in computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and