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devices comprising hundreds of atoms and multiple magnetic centers, pose a huge dilemma in quantum chemistry between system size and complexity. To overcome this challenge, we will develop a new quantum
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team in developing a new type of qubit based on Majorana bound states in Kitaev chains. This project will develop Majorana qubits in longer Kitaev chains, thereby reaching topological protections. We
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to engage in historical research into the sound and mediatization of protest and social movements in the Nordics, and develop your skills as an independent researcher? In this PhD position you will work in an
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changed in EU committees? Would you like to engage in qualitative research into the rise of populism at the end of the 20th century, and develop your skills as an independent researcher? In this PhD
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)? Are you interested in developing novel approaches to assess the ecological impacts of offshore wind farm installation and operation in the North Sea? Then this could be the ideal PhD position for you! What
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complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly complex dynamic system. Minor disruptions can lead to major delays
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combining technology development with process modelling and assessment across the waste value chain. The members of the consortium include 4 other research Universities, 2 Universities of Applied Sciences
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evolving and we need your ideas for improvement and innovation to take us further. We want to devote attention to your personal development. You can count on an enjoyable job within the socially relevant
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combines clinical expertise, data science and wearable sensor technology to develop new methods for measuring disease progression in Parkinson’s disease. You will investigate how digital biomarkers can
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
well before such aircraft enter service. This PhD project will help make this transition possible! The primary focus of this research will be on the development of new methods and models that efficiently