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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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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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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
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scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
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will lead the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form
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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