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programming skills (e.g. Python or similar) and data‑workflow design; an excellent track record of research dissemination; and the ability to work effectively in an interdisciplinary and international team
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programming skills (e.g. Python or similar) and data‑workflow design; an excellent track record of research dissemination; and the ability to work effectively in an interdisciplinary and international team
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a relevant field and have strong quantitative and analytical skills, including experience in food systems modelling or closely related areas. Proficiency in data analysis and coding (e.g. Python, R
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activities, including supporting clinical trial and experimental medicine studies. You will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale
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and to solve major global challenges. About you You will hold a relevant PhD/DPhil in Cognitive Neuroscience, Psychology, or a related subject. Strong programming skills (Python and/or MATLAB) and the
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computational skills. Experience applying AI or machine learning to large-scale biomedical datasets, along with strong programming ability in Python and/or R, is essential, as are excellent communication and
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Python and/or R are essential. Excellent communication skills and the ability to collaborate effectively in interdisciplinary research environments are also required. This is a full time, fixed term post
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experience. They will also hold, or be currently working towards, a PhD in Linguistics, Data Science, Statistics, Psychology, Education or a related field. Proficiency in R or Python for data analysis is
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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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statistical and machine learning methods, particularly for high-dimensional or longitudinal data. Demonstrable experience in research software development using R or Python and a track record of contributing