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Characterization (DTU Nanolab) to explore how nanoporous materials can help remove chemicals, e.g. PFAS ("forever chemicals"), from water. We are looking for a highly motivated PhD student to investigate
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and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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i.e. turning towards in-line production and quality control will help save natural resources as well as reduce waste material and energy consumption. Formulation and test methods using mathematical
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Job Description Are you passionate about startups, science-based innovation, and entrepreneurship? Do you want to contribute new insights into how deep tech ventures scale and succeed? In
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include: Assistance in and involvement with other related research projects and topics in the group Help with the supervision of BSc and MSc students Taking responsibility for the functioning of research