225 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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efficient multi-tasking and maintain accurate and up to date records. In addition, the applicants should have high level of proficiency with computer software related to laboratory research, data presentation
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work within the project, including experience of computer programming (e.g. FORTRAN, C++), and wider computing skills (e.g. R, Python or similar). What we can offer you Freedom (and the support) to
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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is
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, charitable trusts and foundations, international Universities and industry. The post holder will work as part of a recently funded EPSRC Programme grant, undertaking research into Nanotheranostics, support
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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the opportunity to engage in College or departmental teaching to develop their skills base. Individual mentoring and access to the University's career-development programme will be provided, alongside a
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graphs, computer vision, and the digital humanities. The goal is to develop an innovative AI architecture that is flexible and extensible enough to serve as a knowledge representation framework for