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, functionality, and performance. You will join a team consisting of five other PhD researchers and colleagues from two additional departments (Electrical Engineering, and Mathematics & Computer Science). The team
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PhD position in AI and Human Centered Decision Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 5
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enabling new transmitter concepts, but only if we can detect imperfections and correct them in real-time. In this PhD, you will build the digital “brain” that makes this possible: an energy-efficient
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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real-world challenges faced by industry, governments, and society within the international STRUCTURE project? Information The PhD candidate will work within the international research project STRUCTURE
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2 PhD positions in Statistics Faculty: Faculty of Social and Behavioural Sciences Department: Social Sciences Hours per week: 36 to 40 Application deadline: 26 April 2026 Apply now Help shape
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7 Mar 2026 Job Information Organisation/Company Utrecht University Research Field Mathematics » Statistics Sociology » Socio-economic research Researcher Profile First Stage Researcher (R1
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
Vacancies PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’ Key takeaways In high-stakes crises, strategic teams often aim to avoid errors at all
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-preserving data analysis. We are looking for a PhD student to join our team and contribute to cutting-edge research in theoretical computer science, with a focus on Secure Multi-Party Computation. You will
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and urban infrastructures interdepend and co-evolve, and to identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several