109 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"CSIRO" "University of Exeter" positions
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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Generation Metamaterials: Exploiting Four Dimensions (META4D)—a collaboration between King’s College London, Imperial College London and University of Exeter. The research in Photonics & Nanotechnology Group
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for the potential programme you are applying for. To Apply for this project please click the 'Apply' button Funding Comment per 3.5 years Location Streatham Campus
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Zhou (z.zhou2@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 Funding Comment
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ensure you read the entry requirements for the potential programme you are applying for. To Apply for this project please click on the ‘Apply’ button above.
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programme you are applying for. To Apply for this project please click on the ‘Apply’ button above.
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ensure you read the Job Description and Person Specification for full details of this role. Our Equality, Diversity and Inclusion Commitment The University of Exeter is an equal opportunity employer. We
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
supervisor Prof. Shiqiang Wang (https://shiqiang.wang ) has recently moved to the University of Exeter after nearly 10 years of industry experience in the United States. He will bring a unique vision, hands-on
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good Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Physics, with good programming, analytical problem-solving, writing and presentation skills. Please direct project specific
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar