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previous teaching experience will be valued; Ideally: Experience in programming languages such as R or Python Additional Information Benefits Wageningen University & Research offers excellent terms
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level. For analyses and model development, you will work with programming languages such as R, Python, and GAMS. You will work with existing micro‑economic simulation, optimisation, and emission models
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analysis is highly desirable. Experience with Earth observation or remote sensing data is a strong plus. Proficiency in programming in Python and experience with PyTorch, Scikit-Learn, or related modern
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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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contribution to human wellbeing (e.g. IPBES and SEEA); Strong quantitative skills and ability to work with large (geospatial) data sets. Experience with GIS software and fluency in Python or R is needed
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). Demonstrated affinity with quantitative genetics concepts and data analysis. Experience with programming in Python, Fortran, Linux or similar software. Good organisational and communication skills in English
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, Quantitative Genetics, Population or Statistical Genetics). Demonstrated experience in analytical and quantitative skills. Proficiency in programming and data analysis tools (e.g. Python, R, Fortran, Linux
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programming languages / environments, such as, Python, Rand experience working with High Performance Computing. Basic knowledge of machine-learning concepts (classification, regression, cross-validation
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Sciences) or Data Science (Bioinformatics, Computer Science, Data Science, Artificial Intelligence, Computational Biology) Experience with different programming languages / environments such as, R, Python
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programming and data analysis tools (e.g., SQL, Python, R, GIS platforms); experience with the management and analysis of human subject data (e.g., from questionnaires, interviews, behavioural experiments, eye