750 parallel-and-distributed-computing-phd-"Meta"-"Meta" Fellowship positions in United Kingdom
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Contract Type: Fixed Term contract up to December 2026 Role Summary TWICEASGOOD, a five-year programme of research (2022-2026) funded by an ERC Advanced Grant, aims to better understand how
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other project partners, and to take advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research
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, and there will be the opportunity to apply for a PhD at UCL and undertake relevant research training. You will be based within the NHS Highly Specialised Service (HSS) for Rare Mitochondrial Disorders
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Partnership Training (APT): A programme of work to co-design and evaluate the effectiveness of training a person with aphasia and their communication partner to communicate better together” (NIHR Number: 208121
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at conferences and other events. Applicants should hold a relevant PhD in a similar or related field, ideally with postdoctoral research experience. The successful applicant will be a nationally recognised
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the Fellowships are designed to support those who are at an early stage in their academic careers and will normally be awarded to candidates who have recently completed a PhD degree (or equivalent qualification
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, experimental testing, data analysis) and with a PhD in Psychology or related discipline. The post-holder will join our multidisciplinary research team in the Centre for Innovation for Mental Health, School
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of disseminating research findings (e.g., through journal publications and conferences). - Have a PhD in Psychology or a related discipline (the PhD thesis must be submitted prior to starting the position). What we
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research publications and deliver scientific presentations at national and international conferences. About you Candidates should have a higher research degree (PhD) in a relevant subject such as cell
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the form of publications and at research seminars. Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline. Contribute to developing new models