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modelling; strong programming and research engineering ability (Python with modern ML tooling such as PyTorch/JAX) and good software practices; familiarity with interactive/agentic settings (e.g., tool-using
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work within the project, including experience of computer programming (e.g. FORTRAN, C++), and wider computing skills (e.g. R, Python or similar). What we can offer you Freedom (and the support) to
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of economics and experience in data management and analysis. You have demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar). This is a full-time, fixed
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papers. An ability to analyse data in R, MATLAB or Python is essential. The candidate will join an international, multi-disciplinary team with cross site visits throughout the project. A PhD student also
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systems, ideally including mobile manipulators. You will be proficient in software development (Java, Python, C++), with object-oriented programming and software engineering practices. You will have hands
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. You will have appropriate knowledge of relevant software tools for this work, including coding in python or C++, and experience with standard laboratory equipment for detector development. About the
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) Proficiency in relevant analytical tools and programming languages (e.g., R, Python) Prior experience of writing and publishing papers on a relevant topic The candidate will join an interdisciplinary team
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(XR) wearable devices, for vehicles on-the-move. Programming in relevant language (e.g. Python) and use of/integration with relevant libraries including APIs to external SDKs/modules Write papers
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the ability to perform reasoning and generate novel insights from the represented data. Candidates should be proficient in Python, and ideally have some expertise in one or more of the following areas: digital
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-agent applications using agent platforms and working across key AI/ML tools and languages, including Python, Java, Prolog and JavaScript. You will have a proven ability to analyse research problems, write