187 evolution "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" PhD scholarships in Denmark
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-coupled power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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laboratory- and synchrotron-based X-ray tomographic scanners. For this it will be necessary to pursue the development of an X-ray dose optimised fast imaging concept to characterise static and dynamic shapes
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applications for a PhD position within the project “HVDC Subsea Electrode Unit”, starting from May 2026 or soon hereafter. The 3-year employment is funded by the Energy Technology Development and Demonstration
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conventional agriculture-based alternatives. This project will pioneer the development of a high-resolution waste-derived novel biotechnology feedstock-host background data generation to enable sustainability
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Further information may be obtained from Assistant Professor Lesia Mitridati (lemitri@dtu.dk ). You can read more about DTU Wind and Energy Systems Department at https://wind.dtu.dk . If you are applying
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. An individual career development plan containing research and transferable courses, international research visits, mentoring and career activities, is also a central element. Please visit https://www.interact
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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maintenance planning framework for wind turbine technologies, with a focus on enhancing structural resilience and operational efficiency. Key objectives include the development of a tailored risk-based
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
in tissue damage and disease development. The research is characterized by close integration of basic and translational approaches, as well as well-established collaboration with clinical environments
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and