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Field
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written and verbal communication skills. The ideal candidate should have experience with LINUX, STAR-CCM+, ANSYS, Fluent, COMSOL, MATLAB, Simulink, and Python. Experience with parallel computing is a plus
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using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes
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; for example, a Ph.D. in social psychology with no experience in engineering or computational approaches would not be acceptable. Experience with programming (Python, Java, Javascript, PhP, and others) Training
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experience with designing experimental studies and analysing quantitative data. Proficiency in either R or Python. Favourable qualifications (not requirements, but give applicants an advantage): Relevant
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experience (Python, C/C++/C#/etc.). Fundamental understanding of, and practical experience with AI / machine learning / deep learning (TensorFlow, Keras, scikit-learn, PyTorch, etc.). Experience with big data
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background in at least two of the following fields: computational physics, porous media physics, statistical physics. Experience with programming language (e.g., Matlab, Python) Fluent oral and written
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Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside of the EU/EEA-area and who do not have English as a native language, must document
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of power system operation, planning and resilience. Good programming skills (e.g. GAMS, Python, Matlab). Demonstrated high level interpersonal and communication skills with the ability to work
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strong analytical and problem-solving skills, and be proficient in Python and familiar with relevant programming frameworks and tools. Fluent oral and written communication skills in English The evaluation
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. Previous programming experience (C++, Python or Fortran are the most relevant languages). Experience with modern coding workflow, and in particular revision control, and code testing. Previous experience