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multi-disciplinary project. You also possess: a successfully completed MSc degree (120 ECTS points) in Human Nutrition, Food Science, or a closely related field; strong quantitative skills (e.g. R, Python
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, Python). Experience in working with complex datasets. Interest in neurodegeneration and translational neuroscience. What we offer: A 2-year competitive doctoral scholarship and full benefits, renewable
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Some experience with designing, conducting, and analyzing quantitative research (experience conducting research with young children is advantageous) Good programming skills (in R, Python, or similar
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courses in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
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programming and software skills (Python essential; C++/Fortran beneficial) Interest in machine-learning-based regression and surrogate modelling Motivation to challenge established CFD-driven design workflows
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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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and no later than autumn 2026. Experience with Python programming or a comparable programming language. You must have a strong academic background from your previous studies and have an average grade
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software as python packages Report findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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chemistry, or Applied Mathematics or Information Technology. Experience with numerical programming, machine learning or data analysis, preferably with Python. Solid background in technical mathematics