328 computer-programmer-"Multiple"-"Prof"-"O.P"-"U.S"-"GEORGETOWN-UNIVERSITY" Postdoctoral positions in United Kingdom
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and techniques to work within established research programmes be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and
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Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work
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to lead projects aimed at developing a full-stack approach to suppressing errors in quantum hardware. This research focuses on achieving practical quantum computation by integrating techniques ranging from
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analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods that are specifically designed to capture and interpret internal (i.e. legal) and external (i.e
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of the lab is the intersection of computational psychiatry and brain-body interactions. The post holder will assist with neuroimaging studies exploring body-brain interactions, working closely with postdocs
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disciplines may be eligible if they can demonstrate exceptional problem-solving skills and deep expertise computational model development. Candidates who have not yet acquired their PhD would be appointed
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available plus access to holiday camps for children aged 5-16
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including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available plus access to holiday camps
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models