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expertise in software tools related to simulation/ optimization of energy systems, and coding using a high-level language (e.g. Python) has experience in analyzing multi-energy systems from different
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journal article(s) / GitHub). Excellent communication skills in English, both oral and written. Documented experience with scientific programming (e.g., Python, Matlab, R). You must meet the requirements
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experience with spatiotemporal modelling Documented experience with Geographic Information Systems Documented experience with programming in either Python or R Documented experience with newly established
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expertise in computational methods. Documented experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory
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the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant publication(s) The following qualifications will count in the assessment of the applicants
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, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R
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different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R. Have excellent skills in mathematics and probabilistic AI. Good written
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cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python
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that are commonly used in the group include Python, high-performance computing, MPI, OpenMP, Commander, Git, and LaTeX. Familiarity with some of these concepts will be an asset, but is not required at the time of
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, HampsonRussell, RokDoc, Interactive Petrophysics, PowerLog, Jason, and Visage Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good