76 phd-position-in-database-modeling Fellowship positions at University of Nottingham
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time series modelling, age-period-cohort modelling and structural equation modelling. Whilst applicants need not to be familiar with ALL of these, they ought to be familiar with ONE (and to state in
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setting, and what the mathematically necessary assumptions are. There are 2 positions available for this vacancy. The successful applicants will contribute to the development of results in the field
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likely extension. Salary: Research Fellow: £31,637 to £46,735 per annum (pro-rata if applicable) depending on skills and experience (minimum £35,116 with relevant PhD). Senior Research Fellow: £45,413
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PhD (or equivalent) in food science, nutrition, or a related discipline, with experience in in vitro digestion, specifically using the INFOGEST static digestion model, nutritional analysis (minerals
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We are looking for a researcher, whose expertise lies in gravitational waves. They will be expected to conduct research on perturbative or nonperturbative waveform modelling, with applications
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and identification of pathology specific biological targets for treatment options. Finally, we will integrate our engine exhaust exposure models as an exemplar IPF driver to understand mechanisms
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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 Management, Information Systems, Organizational Behavior, Entrepreneurship, Marketing
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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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to make applications for funding of a higher degree (PhD/ DM) and doctoral fees which are not included in this post. PhD/DM training for clinicians in the School of Medicine is closely supervised and
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of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and interdisciplinary team