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Field
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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and simulation of PV systems and other offshore renewable energy technologies; hydrodynamic and fluid dynamic systems; programming and numerical modelling (e.g. Python, MATLAB); computational fluid
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programming languages such as Python or R. You are able to collaborate effectively in a diverse, multidisciplinary research team. You have strong communication and social skills. Given the international
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Data Science, Data Analysis, Computer Science, or Mathematics Strong programming skills (e.g., Python, C/C++, C#, Java, Scala or similar) Solid academic record (GPA B or higher on master’s degree and
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have some experience in programming (e.g., R, Python, Julia, Scala, Java, or C++) and in data analysis, management, preparation, and visualization, ideally as part of at least one end-to-end data science
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, Research MSc), e.g. in econometrics, computer science, mathematics, physics, economics, quantitative marketing. Experience in programming (R and/or Python) Strong interest for societal problems and in
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or related degree. Curiosity, resilience, and an interest in interdisciplinary, impact-driven research are essential. Experience with ecological fieldwork, data analysis (e.g., R or Python), or public
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by the time of appointment, Strong interest in solar physics, space weather, or plasma modeling Programming experience (e.g., Python or equivalent), Some background in solar data analysis
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and