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Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group. Good communication skills in English, both written and spoken. Willingness to collaborate
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on the exploration of molecular potential energy surfaces using machine-learned force fields. In the subsequent stages, the project will focus on data-driven elucidation of structure–stability relationships
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the fabrication of robust artificial quantum superlattices that have never before been realized. Joining our dynamic, international research community, you will gain unique, high-demand competencies in quantum
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samples, generating robust insights into evolutionary history, population dynamics, and extinction processes. Your primary tasks will be to: Develop bioinformatics pipelines for assembling genomes from
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structures, followed by thorough characterization of their chemical, structural, and mechanical properties. You will work on understanding and optimizing foam properties such as porosity, elasticity, and
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of eelgrass also lack other 3D structures as stone reefs to support fish and other mobile fauna, because stone fishery for constructing harbors and other infrastructure has been intensive for hundreds of years
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, differentiation and metabolism. The research unit constitutes an international, ambitious, highly dynamic, and well-equipped working environment. The unit and the department have state-of-the-art facilities
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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renewable power system dynamics. Collaborate with experts from DTU and IIT Bombay, gain hands-on experience with advanced simulation tools, and contribute to high-impact publications. Enhance your
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-matter interactions for applications in sensing, optical communications, and quantum technologies. The scientific environment at our department is vibrant and highly collaborative with world-class