458 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"Prof" PhD positions in United Kingdom
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physical techniques eg laser and optical instrumentation; computational/numerical modelling programming skills eg Python, FORTRAN, C++. Eligibility Open to both UK and International applicants, including EU
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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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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Antimicrobial resistance (AMR) is one
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training will be provided. For informal enquiries, please contact Dr Graeme Kettles at g.j.kettles@bham.ac.uk. Funding notes: This project is being offered through both MIBTP and Darwin Trust PhD programs
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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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to: Bram Kuijper, a.l.w.kuijper@exeter.ac.uk . Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click the 'Apply' button
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Please ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click on the following link -https://www.exeter.ac.uk/study/funding/award
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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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Programme (NSIP). The position is full-time and fixed-term until 31 March 2027. This interdisciplinary project is conducted in collaboration with the Department of Plant Sciences and other industry partners