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Statistics (AISTATS), vol. 238, pp. 550-558, 2024. H. Fokkema, T. van Erven and S. Magliacane. Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
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statistics of environmental properties, and are you not afraid of a challenge? Then this vacancy is just right for you! Your research will contribute to effective environmental monitoring and mapping. When we
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design; Strong analytical and computational skills for the experimental results using (spatial) statistical methods; A keen interest in performing multi-disciplinary work as part of larger research team; A
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in Computer Science, Statistics, Artificial Intelligence, Data Science, or a related field; Strong knowledge of and experienced with machine learning, data mining, and statistics; Knowledge of and
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technology and data or a technical profile with a background in medicine. Analytical and resilient: you are comfortable handling complex data and working in a demanding environment. Experience with statistical
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journals and conferences; Contribute to educational activities; Write a dissertation. Selection Criteria A MSc degree in Computer Science, Statistics, Artificial Intelligence, Data Science, or a related
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field concerning health (e.g., health science, health psychology) or data analysis (e.g., data science, statistics) Affinity with data science (e.g., complex statistics, machine learning or computational
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20 Sep 2025 Job Information Organisation/Company Radboud University Research Field Physics » Quantum mechanics Physics » Statistical physics Researcher Profile First Stage Researcher (R1) Country
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journals and conferences; Contribute to educational activities; Write a dissertation. Selection Criteria A MSc degree in Computer Science, Statistics, Artificial Intelligence, Data Science, or a related
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psychology) or data analysis (e.g., data science, statistics) Affinity with data science (e.g., complex statistics, machine learning or computational modelling) or willingness to develop relevant skills (in