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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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of population changes and formal demography are an advantage. The candidate is expected to apply innovative analytical and/or statistical methods to improve the estimation of population changes at a subnational
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, Sociology or related fields). The data collection is to take place in Denmark, so the PhD student must be fluent in Danish. Experience with qualitative methods is required, and related research experience
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Prof. Daniel Merkle. The overall research project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the design of microbial communities
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the Computer Science study program. The stipend is open for appointment from August 1st 2025 or soon thereafter. The PhD students will be working on topics within the general areas of formal methods, model checking and
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processing power of a novel photonic integrated circuit architecture [Heuck2023]. This includes studying the effects of optical loss and decoherence and methods to overcome these by error detection and
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social science methods. Strong writing skills. Further information For further information about the position, please contact Associate Professor Tonny Brems Knudsen, Department of Political Science
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Small case Studies of Successful Innovation Funding Methods The project will employ a combination of mainly quantitative methods, including machine learning (ML) and generative AI (GenAI) models
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. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function