741 assistant-and-professor-and-computer-and-science-and-data PhD positions in United Kingdom
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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mucosa. Objectives include: 1. Training generative models to produce realistic, high-resolution microscopy images. 2. Ensuring no synthetic image is identical to real patient data. 3. Evaluating image
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each category). Acceptable first degree: Geophysics, Geology, Computer science, Physics, Environmental Science Mode of Study Full-time Start Date 1 October 2026 Funding Information ARIES studentships
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), computation (bioinformatics, machine learning, statistical analysis), working with animals (radio-tracking, animal handling/sampling), and deep knowledge of evolutionary biology and gerontology. The Norwich
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or master’s course with substantial mathematical content, e.g. mathematics, statistics, physics, management science, or computer science. Early applications are encouraged, as candidates will be invited
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record, in many areas of breast cancer including pathology; cell, molecular and radiation biology/radiotherapy; medical oncology/chemotherapy; translational oncology; clinical trials; pre-clinical models
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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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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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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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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