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closely related quantitative field. • Have experience using statistical software (R, Python, SPSS, Stata), regression analysis, and statistical modelling are required. Preference will be given
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, as well as: A PhD degree in the field of renewable energy engineering (or close to obtaining one), or in a closely related field. Demonstrable experience in Python and relevant modelling tools, like
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Science, Data Science, or a related field Experience in viticulture/agronomy and field trial work Strong data analysis skills using Python and R Proven ability to work with complex datasets and modelling
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programming and Python an advantage • A solid grounding in quantum optics and light–matter interaction • High motivation, curiosity, and a passion for research • Excellent interpersonal and
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Master’s degree, if applying for the Research Associate rank. A strong background in mathematics and programming (e.g., Python or MATLAB). A strong publication track record. Excellent analytical and research
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Geographic Information Systems, scripting/programming for modelling (particularly R and Python), high performance computing, and a functional capability in statistical analysis and interpretation. You will