88 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham in Uk
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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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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
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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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systems to work across several industry relevant projects. MAS has a large intra-disciplinary team of researchers, engineers, technicians, support staff and academics who work together to deliver research
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the sector, yet a lack of gender-disaggregated data combined with the predominance of gender-blind programming means that workplace protections often miss key threats to women’s wellbeing. The research aims
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Applications are invited from qualitative researchers with a PhD (or close to completion) for the position of Research Associate/Fellow within the School of Health Sciences. You will be part of a
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to explore own research interests. We are looking for a researcher with experience of data-intensive projects involving simulations or observations, good knowledge of galaxy formation physics, and the ability
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colleagues to develop the research design undertaking the literature review liaison with project stakeholders data collection and analysis contributing to reports and outputs research project administration
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members and will be required to travel in the UK and internationally for data collection, co-production and dissemination activities. The candidate will have a PhD (or be nearing completion) in History
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contract initially for 18 months, extendable up to 3 years contingent upon successfully meeting project milestones. What you should have: • PhD (or nearing completion) or equivalent industry experience in