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-up, crystallisation, and advanced analytical methods (NMR, IR, MS, PXRD). (Additional experience with reaction engineering, reactor optimisation, python for data analysis is considered beneficial but
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a similar program. You also possess: Have experience in the construction and empirical calibration of models Possess good programming skills in Python, MathLab, Mathematica, or similar software Good
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, particularly in Python and ML-related libraries, are required. Furthermore, you are highly motivated to pursue academic research and you are fluent in English, both written and spoken. Additional Information
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, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
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Modelling, Hidden Markov Models, Causal Discovery Algorithms, Reinforcement Learning) Proficiency in R, Python, and/or Mplus. Excellent command of English (spoken and written) Your scientific qualities
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experience in quantitative methods, including automated content analyses and/or handling panel data Advanced analytical skills preferably using in R, Stata, or Python Excellent proficiency in English What do
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candidate with a PhD in ecology, ecotoxicology, or environmental modeling, and strong analytical and programming skills (e.g., R or Python). Experience with biodiversity metrics, ecosystem service modeling
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experience in scientific programming (Matlab and/or Python and/or C) Analytical mindset Proven autonomous attitude in research Hands-on approach with experimental lab work Excellent interpersonal and
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quantitative and analytical skills. A result-oriented attitude and enjoys working in an interdisciplinary group. The following will make you stand out: Programming experience in Python, GAMS or a similar
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strategies; proven ability to design, execute, and troubleshoot pooled and/or arrayed CRISPR screens in mammalian cells; strong computational skills in bioinformatics and data analysis (e.g. R, Python