461 programming-"the"-"DAAD"-"EURAXESS"-"IMPRS-ML"-"Prof" PhD positions in United Kingdom
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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
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genomics, evolutionary biology, bioinformatics and population genetics. They will develop skills in large-scale data analysis and scientific programming. The student will take part in journal clubs and
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This project is a fully funded MSc by Research Scholarship in Medicinal Chemistry / Synthetic Organic Chemistry and builds on a successful decade-long research programme at the University of Exeter
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(DoSChem) – Austria’s largest doctoral training program in chemistry. DoSChem brings together more than 200 doctoral students and over 50 PIs, fostering interdisciplinary and curiosity-driven research
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gain advanced training in ecological modelling, movement ecology, landscape ecology, GIS, R and Netlogo programming and population viability analysis. They will develop skills in handling large