31 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at University of London in Uk
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of Engineering and Materials Science, a large School with approximately 70 academic staff and around 45 postdoctoral research staff. There are around 1000 undergraduate and taught postgraduate students and 220 PhD
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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novel models and tools to improve cancer early detection. They will contribute to Cancer Research UK and NIHR funded projects, including studies using large healthcare datasets, such as CPRD, focussed
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use a series of model systems with increasing complexity, including patient derived spheroids, to recreate the breast tissue during obesity we study cellular metabolism via our dedicated MS facility. In
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understanding of cancer risk and developing novel models and tools to improve cancer early detection. The successful candidate will contribute to Cancer Research UK and NIHR funded projects, including studies
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with cell lines and human primary cells, cell culture, transfections, immunostainings, western blotting, reporter assays, in vivo testing including models of osteoarthritis in mice. Professor Dell’Accio
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should have, or be close to completing, a PhD (or equivalent qualification) in Astronomy/Astrophysics or a closely-related discipline, and have a history of publications and oral/poster presentations
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of computational and behavioural neuroscience with modelling and domestic chicks’ data. This position is funded by a Leverhulme Trust project entitled “Generalisation from limited experience: how to solve
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based