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). The appointment is for 2+1 years and comes with travel support. It is funded by the Simons Collaboration on « Probabilistic Paths to Quantum Field Theory », https://probabilistic-qft.org/ , which addresses broad
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evaluation of virtual tutors (recommendation systems) by working at the intersection of education sciences, psychology, and data engineering. The main tasks of the successful candidate will be: - Designing and
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at the IJM. This recently created team studies ancient genomes to better understand human evolution and its implications for biology and health. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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A. G., Winther O. (2022). Can LLMs Reason about Medical Questions? arXiv:2207.08143 [19] Liu Y ., Iter D., Xu Y ., Wang S., Xu R., Zhu C. (2023). G-Eval: NLG Eval. GPT-4 with Human Alignment. EMNLP
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major research center whose academic partners include Université Grenoble Alpes, Grenoble INP – UGA, CNRS, and Inria. The LIG brings together nearly 500 researchers, faculty members, PhD students, and
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: The VirtuALS project funded by French ALS association (ARSLA) aims to improve the diagnosis and treatment of Amyotrophic Lateral Sclerosis (ALS) by developing the a personalized "Digital Twin" of an ALS patient
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Infrastructure (TGIR). It is affiliated with INSA Toulouse, Université Grenoble Alpes, and Université Paul Sabatier (Toulouse). The LNCMI enables researchers to conduct experiments in some of the world's most
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, electronics, etc.). The LATMOS (ATMospheres and Space Observations Laboratory) is part of the Pierre Simon Laplace Institute (http://www.latmos.ipsl.fr ) and is located on the Campus of the University
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time, or place, or quantity? In many different fields of cell biology, there are debates about whether and how much the explanation of the production of the right cells is to be imputed to lineages
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at smoothing the creation of a diverse training set with enhanced and biased sampling simulations. As a proof-of-concept, we will study the carboxylation step catalyzed by rubisco,3 which happens to be the most