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. Our work will be informed by sound theories and supported by empirical data. In this project, we will use AI as an opportunity and address the challenges that emerge due to AI. Our goal is to conduct
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molten salt to study key phenomena under controlled conditions Your role: As a PhD candidate, you will work at the intersection of theory and practice, contributing to both computational and experimental
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van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model
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, supervised by Dr. Tim van Erven. This is what you will do AI and machine learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many
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of moral hazard and fiscal strain for governments under shifting climate risks, the candidate will develop an agent-based model grounded in the Tiebout theory and supported by data, including data on public
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. Other degrees with a strong mathematical component will also be considered. • Interests: You should have a strong interest in mathematical machine learning theory and explainable AI. (This point is about
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Make a difference with your research. Join us to build advanced population models based on the field observations. You’ll collect and analyse data on conservation options - predator management
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theory to unlock the efficiency of neuromorphic compute in multi-timescale processing. Job description Neuromorphic computing promises new energy efficiency records by taking inspiration from biology
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Mathematics » Applied mathematics Mathematics » Probability theory Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 20 Oct 2025 - 22:00 (UTC) Type of Contract Temporary
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the group. To strengthen the mathematical backbone of your work, you will collaborate intensively with: Prof. Remco van der Hofstad (Eindhoven University of Technology, expert in probability theory and