252 computing-"https:"-"https:"-"https:"-"BioData" Postdoctoral positions in United Kingdom
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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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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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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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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intelligence shapes welfare governance and migration management across Europe. The role is jointly based in the School of Society and the Environment and the School of Electronic Engineering and Computer
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(or near completion) in a relevant discipline (e.g., data science, computer science, engineering, statistics, or a related field) or equivalent research experience. You will have demonstrable expertise
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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/computational topology or algebra for biological systems and assist in organising activities relevant to this group. They will write up their results for publication, present papers at conferences and contribute
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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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Location: Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Ireland This postdoctoral position contributes to a UKRI-funded programme developing anatomy driven artificial