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system evolution? We are offering six PhDs positions across the department of Mechanical Engineering, Electrical Engineering and Mathematics and Computer Science that focus on solving cutting-edge design
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more about the different phases within the PhD trajectory? You can read more about this on this page . You will work on a challenging project that explores the impact of genetic mutations in various
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potential new avenues for risk stratification and treatment. Would you like to know more about the different phases within the PhD trajectory? You can read more about this on this page . You will work on a
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
to anticipate and manage. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies
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PhD Candidate in Agent-Based Modelling and Urban Health: Designing for Movement Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 36
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heating that can be tailored to the specific local PED context. This PhD is part of the technical study and modelling of the project that needs to focus on a resilience-oriented operational framework
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flexibility is offered to the grid/market. In this regard, this PhD focuses on optimizing the use of flexibility in electrified process plants by leveraging dynamic behaviors and market participation. With
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learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts. For example, we would like to be able
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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interest and motivation to apply for a PhD position in our group, please indicate also when you can start the position at the earliest. An academic transcript of BSc and MSc education, including grades. A