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12 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire Jean-Alexandre Dieudonné Research Field Mathematics History » History of science Researcher Profile Leading Researcher
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-qualified student with postgraduate degrees in finance, economics, statistics, mathematics, or related disciplines. Research will cover topics in: (1) Financial Econometrics and Forecasting (2) Applications
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interacting QFTs, where non-perturbative features become important. In this project, the student will apply techniques from mathematical physics, such as generalized symmetries and topologically invariant QFTs
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. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits, at least 60 of which must be in advanced
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on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI. The topics are not limited
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, Information & 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
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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quality of work is also quality of life. We are looking for support at the Institute for Statistics and Mathematics Part-time, 30 hours/week Starting October 27, 2025, and limited until September 30, 2028
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honours degree in physics or a closely related discipline (e.g. applied mathematics, engineering physics, geophysics, astronomy/astrophysics), and have a strong academic record and clear motivation
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are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI