70 big-data-and-machine-learning-phd Fellowship research jobs at University of Nottingham
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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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information (spectroscopic data, etc.) for publications are expected. The ability to foster a supportive, creative research culture and the commitment to learn from others is essential. Candidates must hold a
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. This project is sponsored by an industry partner and has set milestones and deliverables. Candidates must hold a PhD (or close to completion) in a relevant field such as brewing science, malting science, yeast
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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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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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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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for you to access information and support on application and interview process. We offer a range of benefits, visit Your Benefits website to learn what we can offer you. We welcome applications from UK
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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