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in a relevant field (e.g., computational linguistics, digital humanities) Excellent programming skills, with extensive experience in Python Extensive experience with recent Python-based machine
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, supervise BSc and MSc theses, and contribute to high-quality education. We seek candidates with strong teaching skills and programming experience in R, Python, and/or STATA, who are eager to inspire students
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Engineering, Physics, or a related discipline. Technical Skills: Experience with numerical algorithms and scientific software development. Tools: Proficiency in Python (or similar) and/or wind turbine
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Expertise: Deep experience in Large Eddy Simulation (LES) and a solid understanding of Atmospheric Boundary Layer (ABL) physics. Programming: Strong proficiency in C++, Fortran, or Python, and experience
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communicate in academia. Excellent computational skills (e.g., R,Python or comparable). Fluency in written and spoken English (at least C1 level). The capacity to participate in an interdisciplinary
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(for example instruments control) You have proven experience in Python development You have experience in software development and validation, especially complex simulation software Ideally, you have direct
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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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