74 phd-data-mining Fellowship positions at University of Nottingham in United Kingdom
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the project, you will work in close collaboration with the team designing and testing the reactors to validate your simulation outputs, and your data will directly feed to the research undertaken by another
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate social science degree level qualification and a PhD (or be about to obtain a PhD, which
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knowledge on responsible innovation when AI is used to create, document, reactivate and conserve artworks and their archives. The successful applicant must have a PhD (or close to completion) in Philosophy
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Requirements Essential: • PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. • Demonstrated experience in techno
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signalling (e.g. calcium fluxes/signalling), root development, and molecular cell biology. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a related area of biological
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Requirements Essential: • PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. • Demonstrated experience in techno
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
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PhD, EngD (or equivalent) in chemical engineering, chemistry or a related discipline. The post is offered on a full time (36.25 hours per week), fixed term contract until 30 June 2027. Informal
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continuous systems. The experimental data will contribute to developing an initial techno-economic evaluation to test the feasibility of utilising flower waste as feedstock. The project outcome is a first step
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are currently performed in our laboratory. Applicants must be highly motivated and self-driven, with a PhD in molecular biology or a related area of biological science. The successful candidate should ideally