256 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"DIFFER" PhD positions in United Kingdom
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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the systems-ML stack. This makes a cohort-based programme vital, treating ML Systems as a holistic discipline. Cohort interaction, and integration, give students real experience across multiple systems
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related discipline. Good programming skills (e.g., Python, PyTorch, TensorFlow). A genuine interest in pushing the boundaries of efficient and deployable AI. Prior research experience (e.g., project work
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individual with strong laboratory and analytical skills and an enthusiasm for applying chemical knowledge to address environmental questions. Prior experience of programming is desirable. Eligibility
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Conservation Please direct project specific enquiries to: Alex Thornton: alex.thornton@exeter.ac.uk Please ensure you read the entry requirements for the potential programme you are applying for. To Apply
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, please select ‘Loughborough’ and select Programme ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number * CSC-26-WS * in your application under the ‘Finance’ section
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, National Trust, John Muir Trust and Warwickshire Wildlife Trust aims to address this. As part of the Heritage Lottery Fund’s Nature in Towns and Cities Programme (NiTC) Green4all’s vision is to transform
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algorithms and machine learning. Strong background in programming (e.g. MATLAB, Python) and tools (e.g. Ansys, HFSS or CST Studio Suite). Good Hands-on skills using equipment and hardware platforms including
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properties. With your application, please provide a two-page project proposal for the PhD, outlining a plan for your PhD research within this area. Within the two-page proposal, please include a 250 work lay
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@uea.ac.uk The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity