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                Employer- University of Groningen
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- Delft University of Technology (TU Delft); yesterday published
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- Vrije Universiteit Amsterdam (VU); 17 Oct ’25 published
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                decision-support tools for responsible AI adoption. You will work closely with academic experts and industrial collaborators, contributing directly to both theory and practice. Your research will deliver 
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                subgroups—in shaping how teams collaborate and perform under pressure. By advancing knowledge on these dynamics, we seek to contribute to both scientific theory and practical solutions for organizations. Your 
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                in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale 
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                ) datasets. Capacity to convincingly connect concepts and theory to tangible heritage. General knowledge of (bio)archaeological subdisciplines. Previous work on cultural heritage and/or public archaeology. We 
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                an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans Hogeschool, working together 
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                deployment; Knowledge of at least one programming language (such as C, Sage, Matlab, Python); If possible, some experience with cryptography - good knowledge of algebra (including field and ring theories, and 
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                Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative 
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                the area of Actuarial Sciences, Econometrics, Mathematical Economics and Game Theory, and Operations Research. Members of the department teach in the BSc and MSc programme in Econometrics & Operations 
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                unique opportunity to contribute to the technological foundations for tomorrow’s machine learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential 
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                or Microwaves; For a perfect fit, you have affinity with device physics or IC design or microwave theory/measurements; Technically, you are among the smartest of your generation; You are keen to work with one