21 phd-computer-network-"https:"-"IMEDEA-CSIC-UIB" Postdoctoral positions in United Kingdom
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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Drug Discovery Neurobiologist (Research Associate) The ALBORADA Drug Discovery Institute (ADDI), part of the University of Cambridge Department of Clinical Neuroscience (http://cambridge
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About us: This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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training programme, an extensive seminar programme, clinical academic networking opportunities, and comprehensive training and career development activities. Funding: Successful candidates receive a salary
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training events across the network. The post is based at the University of Oxford, Department of Experimental Psychology, UK where you will enrol on the doctoral program (DPhil) joining a dynamic and
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networks will be operational without any involvement from digital computers, and approach animal brain in terms of both productivity and energy efficiency. Group web page: http://quantech.group/ What We
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides
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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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, computer science, biomedical engineering, or a closely related area. You will have experience in one or more of the following: (non-autonomous) dynamical systems, complex networks, bifurcation theory