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. The project will produce open-source software packages for Python and/or R, as well as user-friendly web applications aimed at practitioners across healthcare, finance, and industrial engineering. This is a
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systems using tools such as MATLAB, Python, COMSOL Multiphysics, Lumerical, or equivalent platforms. Contribute to experimental laboratory work in ultrafast and nonlinear optics. Develop and optimise
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simulation and enhanced sampling techniques. Candidates must be proficient in Python and familiar with version control platforms such as GitHub. You should demonstrate a strong research track record through
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¿ Strong programming and quantitative skills (for example MATLAB or Python) and a commitment to open, reproducible research You will be based in the Department of Psychology within the Institute
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imaging data, preferably using Python, and hands-on experience building bespoke laboratory setups for imaging experiments investigating alloy composition or relevant applications. You will have a strong
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in research software development using R or Python and a track record of contributing to publications and presentations in leading statistics or machine learning journals and conferences are essential
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neuroscience is highly desirable. We are looking for someone with: Experience in real-time human data processing Advanced programming skills (e.g., Python, MATLAB, C) A collaborative mindset and excellent
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international conferences. The project will produce open-source software packages for Python and/or R, as well as user-friendly web applications aimed at practitioners across healthcare, finance, and industrial
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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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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