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Field
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and machine learning. Gathering
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
institute of the Rennes University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic
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range of areas, including applied mathematics, discrete geometry, geometry of polynomials, inverse problems, knot theory, mathematical modeling, mathematics education, medical imaging, nonnegative matrix
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AI4Science Lab, Informatics Institute, University of Amsterdam (dr. Patrick Forré), combining industrial relevance with academic depth in computational science and mathematical modeling. Qualifications You
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Summary The Space Sciences Department in the School of Natural Science and Mathematics at The University of Texas at Dallas (UTD) is seeking to fill three postdoctoral researcher positions affiliated with
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Position Overview School / Campus / College: School of Medicine Organization: Bioengineering (SOM) Title: Acting Instructor – Mechanistic Computational Modelling Position Details Position
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following: Large Language Models (LLMs), multi-agent systems, or reinforcement learning. Formal proof assistants (Lean, Coq, Isabelle, or similar). Programming. Strong mathematical maturity. Requirements:a
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data