740 parallel-and-distributed-computing-phd Fellowship research jobs in United Kingdom
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- bermet.ishenbekova@ucentralasia.org
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therapeutics or extracellular vesicle therapy development. Essential criteria: Have or be about to obtain (must be obtained within 3 months of commencement of employment) a relevant PhD in a biomedical field of
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the UK and internationally for data collection, co-production and dissemination activities. The candidate will have a PhD (or be nearing completion) in History, Geography, or a related area. Experience of
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connected via fibres and free space link for distributed sensing. The fibres/free space link connecting the nodes require phase stabilisation at optical frequencies. We are aiming to achieve stability better
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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the following essential criteria: Have or be about to obtain* a PhD in Immunology, Biochemistry, Cell Biology, or a closely related area. (*must be obtained within 3 months of commencement of employment
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model and fostering an inclusive working culture. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer
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seek someone who can start immediately in October 2025. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD
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: Postgraduate research experience including a Master’s degree or PhD, or about to obtain a PhD, in a relevant field (e.g. public health, social sciences). Experience of research involving vulnerable populations