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at the Ministry of Higher Education, Research, and Innovation (MESR). As part of the shift in the energy mix toward a reduction in the share of fossil fuels, the development of new stationary energy storage systems
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PhD position in the framework of the ERC Consolidator Grant project “Swarming supramolecular robots” (Suprabot; proposal number 101087514). The project aims to develop fully synthetic, micron-sized
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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transition to sustainable societies. The Department of Electrical Engineering conducts successful research and education in these areas - including renewable energy sources, electric vehicles, industrial IoT
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to apply Website https://www.academictransfer.com/en/jobs/364001/phd-student-cerebellar-morpholo… Requirements Specific Requirements What you will be contributing We are looking for a researcher that a vivid
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, collaborating with leading experts in Cognition ⚙️ Access cutting-edge resources: Benefit from early access to state-of-the-art research infrastructures and innovative teaching formats. 🎓 Personalized mentorship
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Independent research in the field of software engineering, model-driven engineering and self-adaptive systems Independent teaching Student supervision and academic publications Organisational and administrative
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to the 3 + 2 Bologna process) have received the grade of 10 (or equivalent) for the master's thesis according to the Danish 7-point grading scale (https://ufm.dk/en/education/the-danish-education-system
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that specifically and reversibly bind to the biomolecules of interest. In this PhD project, you will explore a novel direction: you will develop and test binder molecules for continuous sensing using de novo protein