682 assistant-and-professor-and-computer-and-science-and-data PhD positions in United Kingdom
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scientific machine learning-based strategies for the discovery of self-similarity laws, use of quantised local reduced order models, and real data assimilation. You will be assimilated, jointly
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depressive symptoms in young people in higher education (YPHE) using ubiquitous smartphone data. Project Description: Mental health challenges, particularly anxiety and depression, are highly prevalent among
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time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (include your research interests in flooding and rationale
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collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.
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5.5 in all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How
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Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum and Stonewall University Champions Programme. Cranfield Doctoral Network Research
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genetics, plant pathology, and computational biology. The student will also spend a minimum of 3 months at KWS UK. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully
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is a multidisciplinary research lab, providing the opportunity to develop extensive skills in a breadth of areas, including plant pathology, molecular biology, and computational biology. Whilst
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financial economics. You will work at the frontier of interdisciplinary research, using high-resolution flood models alongside property data to build a dynamic picture of where flood hazards are concentrated
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the laboratory of Dr. Phil Carella, located in the Department of Cell and Developmental Biology at the John Innes Centre. It provides an exciting opportunity to explore disease resistance in the emerging model