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Field
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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choice theory, or computational modelling. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor
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an interdisciplinary research team, led by Dr Tom Hiscock, who uses computational and theoretical approaches to understand fundamental questions in developmental biology (see https
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science. We will make every effort to support the successful candidate to research independence through the programme, and with training and mentoring opportunities at departmental and University level. The
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About the Role To undertake research investigations in collaboration with and under the supervision of Dr Saroash Shahid and Prof Mangala Patel, to deliver the objectives of the research programme
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emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows
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neurobiology or a strong quantitative preparation with experience in bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed
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We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious