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, SAS, R, Stata, and relational database (e.g., SQL) tools Experience with statistical analysis in applications such as SPSS, SAS, R, and Stata using syntax/command files, macros in SPSS, SAS, and/or
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optimization. • Proficiency in programming (Python, R, Julia, or similar) and experience with frameworks like PyTorch, TensorFlow, or JAX. • Prior research in statistical learning and online optimization
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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic
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of statistical packages such as R or Stata. Experience with longitudinal data, and clinical and administrative datasets would be an advantage, but is not essential Application process Please send your CV, academic
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(e.g., Python, R, MATLAB) Background or interest in nature-based solutions and optimization techniques Experience in working with climate model outputs and scenario analysis is an advantage A proven
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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Business Law Institute (Onderzoekcentrum Onderneming & Recht, OO&R). The Radboud Business Law Institute facilitates and conducts high-quality academic research in the field of business-oriented private law
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Job Description If you are aspiring to shape the future of industrial R&D or academia - especially in the context of renewable energy and intelligent systems - this PhD position may be
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills