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Physical AI. Supervision: Dr Amir Atapour-Abarghouei (Durham), Prof Toby Breckon (Durham) and Dr Samet Akcay (Intel Principal Engineer, Edge Computing). The team publishes in top venues (CVPR, ICCV, ECCV
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will Gain World-class training in stem-cell differentiation, retinal organoid engineering, vascular biology, and advanced imaging/omics.nei.nih+1 Transnational mobility and secondments across the Pandora
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/EPSRC Energy Transfer Technology Skills and Training (S&T) Hub. The main aim of the S&T Hub is to train the next generation of leaders in energy transfer technologies relevant for defence and other
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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accumulation can be limited, we can engineer bacteria to become more solvent-tolerant and thereby generate higher yields of useful products [2]. The project supervisory team comprises Tim Overton (microbial
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research group drawn from a range of backgrounds including chemistry, molecular biology and chemical engineering. They will receive a broad scientific training across these areas, as appropriate
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-convex optimisation, performance analysis, machine learning, etc.) 1) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering
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to determine both AGN activity and star formation directly from survey imaging data, bypassing traditional catalogue-based analyses. The project is funded by the Science and Technology Facilities Council (STFC
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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or equivalent in a subject relevant to the proposed PhD project, including chemistry, materials science, engineering, physics or a related field. The studentship covers fees at the Home rate (UK and EU applicants