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to the European project UPCHANGE (https://upchange.solutions ), which during the next 3 years will develop solutions for integration of renewable energy generation systems in the built environment, digitalization
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physics, optics, photonics, materials science, or a related field. Strong experimental skills in optics, spectroscopy, microscopy, or related areas. Experience in programming and data analysis using Python
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, Research MSc), e.g. in econometrics, computer science, mathematics, physics, economics, quantitative marketing. Experience in programming (R and/or Python) Strong interest for societal problems and in
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skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry Knowledge of generative models, reinforcement learning, or geometric deep learning
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of the Biomaterials and Tissues of the Future. https://cordis.europa.eu/project/id/101226431 This network has 8 host institutions hiring doctoral candidates: Uppsala University, Universitat Politecnica de Catalunya
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knowledge of thermodynamics, fluid mechanics, and heat & mass transfer Strong programming skills in Python, C++, or similar languages Familiarity with machine learning methods for optimization is an advantage
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. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/ Project
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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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-supervised tasks (i.e. k-nearest neighbours, Decision Trees, Neural Networks, Logistic Regression, Gradient Boosting, Self-Organizing Maps); Advanced knowledge of Python programming, namely numpy, pandas