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mathematics with Specialization in Random Matrices and High-Dimensional Statistics Appl Deadline: 2026/01/26 11:59PM (posted 2025/12/17, listed until 2026/01/26) Position Description: Apply Position
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of Mathematical Statistics at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is a joint institution for the Faculty of Engineering (LTH) and the Faculty of Science (N) at Lund University
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Description of the workplace The position will be based in the Division of Mathematical Statistics at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is a joint
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 2 months ago
, curious, autonomous, proactive and dynamic. A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus. LanguagesFRENCHLevelBasic
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, you will collaborate with both clinical and preclinical researchers as well as experts from other research fields. You will have a central role in the project and work independently with: Statistical
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of Statistics and Actuarial Science, School of Computing and Data Science (Ref.: 533742) Applications are invited for appointment as Post-doctoral Fellow in the Department of Statistics and Actuarial Science
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& Post-doctoral Fellow Post-doctoral Fellow in the Department of Statistics and Actuarial Science, School of Computing and Data Science (Ref.: 533742) Applications are invited for appointment as Post
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on ethical, legal and social issues caused by the spread of AI technology and develop human resources. Based on the methodology of statistical physics, our team seeks to develop a fundamental understanding of
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probabilistic and physically informed approaches for seismic hazard assessment. The successful candidate will contribute to the next generation of seismicity and hazard models that integrate statistical and
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generation of seismicity and hazard models that integrate statistical and physics-based representations of earthquake occurrence. These models will account for spatio-temporal variability in seismicity rates