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interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for
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completeness. In other instances, where sufficient data do exist, the models used in attempts to glean performance insight may be overly simple and violate mathematical or statistical assumptions or be overly
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. The PhD student will develop and apply analytical workflows to characterize complex food matrices. The project includes i) developing and optimizing screening workflows; ii) improving sample preparation
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and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics
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this project, you will develop the next generation of federated machine unlearning algorithms—methods that can efficiently deliver genuine, verifiable, and robust erasure without sacrificing model performance
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systems, statistical physics and machine learning, and using these insights to develop new methods, with the support of competent and friendly colleagues in an international environment? Are you looking
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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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: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other
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to rapidly develop competence) in using technologies such as GPS/IMU systems, video analysis tools, data programming, and statistical analyses. How to Apply Contact primary PhD supervisor with the required
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, set up, and perform laboratory experiments to characterize food proteins and assess product quality attributes such as allergenicity. Prepare buffers, reagents, standards, and samples; perform routine