71 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham
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and big data mining. The research fellow will take a leading role in an EU-Africa research project, collaborating with Research Organisations, Academia, and Industry in South Africa, Switzerland, France
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PhD (or near completion) in a relevant area such as Psychology, Mental Health, or Social Sciences. Experience in qualitative and/or mixed methods research. A demonstrable commitment to co-production and
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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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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experiments and test candidate therapeutics on leukaemic stem cells isolated from primary patient samples. You will be responsible for carrying out laboratory research, data analysis and presentation of results
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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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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