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Field
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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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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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of the research programme, including preparing project reports and writing draft academic publications. Experience with the tools of bioinformatics, molecular biology and/or nucleic acid biochemistry is essential
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engineering or a related discipline. Strong analytical, problem-solving, communication, and teamworking skills, along with experience in computational modelling are essential for the role. What we offer: - A
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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experience: Essential criteria PhD in machine learning, computer science, physics, statistics, mathematics or related field. Demonstrated developing and implementing federated learning methods (such as
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Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer Science
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of Plymouth's Interdisciplinary Centre for Computer Music Research (ICCMR) and Centre for Health Technology, in collaboration with the Glasgow Interactive Systems group at the University of Glasgow, and the
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Research Fellow - OSMOSIS research programme Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton Street Building Contract
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Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer Science