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Field
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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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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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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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. 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
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
integration, processing, and modeling. Familiarity with research methodologies related to innovation and sustainability. Competence in programming languages such as Python, R, or Stata. Contact information
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MATLAB or Python) Desired qualifications: The ideal candidate should have: Demonstrated knowledge of fluid dynamics Experience with anisotropic viscous flow Experience with ice texture formation Skills in
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Open Source Geospatial software and libraries, e.g. GDAL or other open source geospatial packages under OSGeo; Experience in programming with multiple languages (e.g. Java, C/C++, Python) for geospatial