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and build internal data products, developing both therobust Python/Spark backends and the intuitive Frontend interfaces that bring data to life. Rapid Prototyping: Act as the team’s "bridge" from
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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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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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to constructive feedback; Good communication skills for spoken and written English. Knowledge of Dutch is desirable but not mandatory; Strong background in programming, using MATLAB and/or Python or other relevant
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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international open science initiatives; Basic knowledge of R or Python, or willing to learn this quickly. Even if you don't bring all the listed experiences, we encourage you to apply. We are happy to invest in
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strong programming skills (e.g. Python, Java, or similar) and experience building APIs, data pipelines, or backend systems. Data integrator by nature – You are comfortable working with SQL/NoSQL databases
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computational methods (e.g., NLP, text-as-data, Python/R) is highly desirable. Interest in serious games, interactive tools, or participatory research methods is an advantage. A research-oriented attitude
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programming skills (C++ or Python) and experience with numerical modeling (for instance, Finite Element Analysis or Computational Fluid Dynamics); A strong interest in—and willingness to learn and perform
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Vacancies Scientific programmer of libraries on testing and learning in Haskell and Python Key takeaways As a scientific programmer, you will support the development of software from a technical