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involving industry and academia, funded substantially by the UK Space Agency. This is part of the UK Space Agency National Space Innovation Programme just announced by UKSA. The overall project is to develop
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also include planning for the dissemination and implementation of the tool. There will be opportunities to contribute to other elements of the research programme subject to capacity and competencies
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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Application Deadline 31 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Application Deadline 6 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in
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system You should hold a PhD (or equivalent experience) in Plasma Physics, Electrical or Aerospace Engineering. Experimental experience is essential; CFD or non-thermal plasma and power electronic design
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Institute for Health and Care Excellence (NICE ) and the National Institute for Health and Care Research (NIHR ). We also have an active and growing programme of other research, including research on research
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, in particular anisotropic phases in a magnetic field. Experience in applications of the gauge-gravity duality is desirable, but not necessary. The successful applicant should have a PhD (or be close
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consistent with the science goals of TiDES. To be successful you will have a PhD in Astronomy, Astrophysics or a closely related field. Experience with supernova surveys/observations and their interpretation