677 postdoctoral-image-processing-in-computer-science-"U" Postdoctoral positions in United Kingdom
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About us The Department of Geography at King’s College London invites applications for a two-year (24 months), full-time (1.0 FTE) position as Postdoctoral Research Associate (PDRA) in Urban Studies
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Role: Postdoctoral Research Associate Grade and Salary: Grade 7, £37,694 - £47,389 per annum FTE and working pattern: 1FTE, 35hrs per week, Monday – Friday Contract: 27 Months, Fixed-Term Holiday
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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We are looking to appoint a highly motivated and skilled Postdoctoral Researcher, with a clinical science or physiology background, to work at the Cardiovascular Clinical Research Facility
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46 Faculty of Philosophy and Education Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4367 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and...
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We are currently seeking a Postdoctoral Research Associate to join our dynamic group at the Department of Biology. The Verd lab is interested in the diversity of biological form, how it is generated
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We are looking to appoint a postdoctoral researcher, to work with a group of UK Higher Education Institutions to deliver a programme of mental health research. The work is funded by the Medical
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Postdoctoral Research Associate in Plant Molecular Biology ( Job Number: 25000664) Department of Biosciences Grade 7: - £38,249 - £45,413 per annum Fixed Term - Full Time Contract Duration: 3 Years
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backgrounds, including computational chemistry, bioinformatics, systems biology, and machine learning. The project offers a unique opportunity to collaborate closely with experimental scientists and contribute