76 phd-position-in-database-modeling Fellowship positions at University of Nottingham
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Applications are invited for a postdoctoral research position at the University of Nottingham, to work on simulations of galaxy clusters with Dr. Yannick Bahé. This position is part of a UKRI funded
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in the development of novel sustainable catalysts, and support on reaction modelling to benchmark the microwave process against alternative technologies (as assessed by our partners). The successful
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Applied Psychology, Management, Statistics, Artificial Intelligence; Excellent oral and
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Applications are invited for a post-doctoral research assistant position to work on a Wellcome Trust-funded project with the aim to assess subcellular GPCR–arrestin complex formation. In
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We are recruiting a Research Fellow for the Hydrogen Research Group currently consisting of 5 academics, 9 research fellows and 15 PhD students. The successful applicant will join a
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this, the successful candidate should be able to demonstrate capability in the application of a range of multiphase flow modelling techniques to challenges in the aerospace industry. The MAS group and faculty have an
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of healthcare, that will serve as a model to other health systems. Researchers in the Business School are leading on the policy and implementation components of this work, and the successful applicant
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neuroscience, cancer biology, extracellular vesicle biology and in vivo modelling. The project itself will combine expertise in neuroscience and cancer biology and has the potential to lead to findings which can
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groundbreaking primary dataset comprising multiple linked surveys as part of the Observatory’s longitudinal cohort studies, and through the analysis of administrative datasets (e.g. the National Pupil Database
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will then analyse complex patterns of data and derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium