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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
challenges. Proficiency in at least one programming language used for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal. For more information
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for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal. For more information about English requirements, please see: https://www.tudelft.nl
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, Computer Science, Applied Mathematics or another relevant subject. Good Python programming skills. Knowledge of data science. Experience with artificial intelligence and machine learning. A good command of
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record in machine-learning methods for computational physics. Proven programming skills in (preferably) Fortran or Julia, or C/C++ and Python. Where applicable, a link to your open source repositories is
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, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods; Experience with (statistical) data analysis
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outlook and good communicative skills required to collaborate in a multidisciplinary team demonstrable experience with scientific programming, e.g. in Python, Julia or R proficiency in spoken and written
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has been studying any of these topics: statistical physics, computer simulation methods, and polymer physics. Proficiency in the C++ and/or Python programming language is an advantage. Good knowledge
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signal processing. Experience in programming (Matlab and/or Python and/or C). Analytical mindset. Hands-on approach. Good interpersonal and interdisciplinary communications skills. Proven autonomic
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(e.g., R, Python) Project management and organization skills Proficiency in English at an academic level, including strong writing skills Skills for providing small-scale education, such as bachelor
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in Computer Science, Artificial Intelligence, or related field. Solid programming and development skills (Python, Git, Bash). Experience with machine learning (e.g PyTorch/TensorFlow). Strong interest