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at the University of Amsterdam is inviting applications for a PhD position in mathematical machine learning. The position is part of the research project “Mathematical Foundations for Explainable AI”, funded by
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integrated into the analysis of integrated assessment models (IAMs), which are used to support policymakers in designing effective climate strategies. In this PhD project, you will work on improving
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& Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure. Visit us
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Mathematics » Combinatorial analysis Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 24 Nov 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours
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-tech, state-of-the-art micromechanical experimental analysis of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong
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verification tools. AMS test diagnostics and fail-log analysis. Your Role as a PhD Candidate You will: Analyze and enhance current automotive IC test flows. Develop new or improved fault models using NXP’s in
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) to specify use cases from the perspective of the relevant domains as well as model transformation, analysis, and synthesis algorithms that provide functionally correct system configurations with a guaranteed
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Your job Do you want to be part of the development of sustainable crop systems that are resource-use efficient, biodiversity-friendly and promote important ecosystem services? Would you like
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connectivity and brain function. You have affinity with working with large datasets and have knowledge of data analysis and programming (MATLAB, Python, R, or other scientific coding/programming). Affinity with
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for corneal regeneration through state-of-the-art (single-cell) multi-omics analysis. You will collaborate with other doctoral candidates in STEM-CORE through joint projects, secondments and network training