606 computer-science-intern-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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- VIN UNIVERSITY
- York St John University
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existing team. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences and strives to maintain an environment where people can be their
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of equipment. Job Requirements A good degree in Computer Science / Engineering, preferably with a relevant postgraduate qualification for Research Fellow. Proficiency with firmware extraction and reverse
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. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly motivated and multiskilled Research Fellow with expertise in
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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. The MHLA programme of work aims to strengthen existing children and young people mental research using a team science approach to define the roles needed for an effective mental health research group
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background in computer vision and strong understanding of a range of AI methods. They must hold a PhD in computer science, with a focus on developing AI-based computer vision approaches. Expertise can be