317 computer-engineering-"https:"-"https:"-"https:"-"C.N.R" Postdoctoral positions in United Kingdom
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, and contributions to open-source software) and application of these methods to research problems in computational materials chemistry. You will also contribute to wider-ranging research activities
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 02.04.2032 Reference no.: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer Science in
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will be supervised remotely by Dr Franchino and in person by Dr Paolo Ronchi, the Head of the Translational Chemistry and Innovation Technology Unit, within the Medicinal Chemistry and Drug Design
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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Point 25 - 28 £33,482 - £36,130 until confirmation was received. This post is available from 30 March 2026 for an initial period of 12 months. Based within the Faculty of Science, Engineering and Business
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will
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close to completion) in cognitive neuroscience, psychology, biomedical engineering or a related area ¿ Experience of human neuroscience experiments, including EEG or MEG recording and analysis
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Engineering, Physics or Materials Science and skills in crystallography (including advanced skills in solving crystal structures) as well as the ability to take responsibility for research planning and
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administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in business administration or related topics (e.g. industrial engineering