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science, phase change phenomena, or micro/nanoscale heat transfer Good data analysis and programming skills (e.g., Python, MATLAB, or similar) Strong motivation, good communication skills, and the ability
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Economics, Computational Science, Geography, Environmental Studies, or Engineering & Policy Analysis; Knowledge of a programming language (Python, Julia, etc) and training in any of the simulation methods
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
climate-related 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
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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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or another relevant subject. Good Python programming skills. Knowledge of data science. Experience with artificial intelligence and machine learning. A good command of spoken and written English, as you’ll be
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physics. Proven programming skills in (preferably) Fortran or Julia, or C/C++ and Python. Where applicable, a link to your open source repositories is recommended. Other valuable skills include: Experience
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
(Python, Supervised learning, Multi-objective optimization) Additive manufacturing of metals Corrosion characterization Mechanical testing Great emphasis is put on personal qualities such as the ability
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the U.S Experience working with spatial data and machine learning models. Strong knowledge of programming languages, such as Python, R . Demonstrated skills in scientific writing, publications, and