55 machine-learning-phd-in-netherland Fellowship positions at University of Nottingham in Uk
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the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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quantitative and digital methods, such as descriptive/inferential statistics, data modelling, machine learning (ML), experimental prototyping and technology ideation. A significant degree of autonomy is required
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developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
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the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. - To acquire, analyse
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close to completing) a PhD or equivalent experience in Psychology, Sociology, Anthropology, Health Sciences, Speech-Language Pathology, Audiology or another relevant subject area, and be experienced in a
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: • PhD (or nearing completion) in optics, photonics, physics, electrical engineering, or a related field. • A record of high-quality publications with evidence of contribution to the writing
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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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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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quantifying antimicrobial sensitivity plus the use of in vitro virulence factor bioassays. Candidates must hold a PhD (or close to completion) in Microbiology or relevant subject area. This full-time (36.25