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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de recherche en informatique et systèmes aléatoires Research Field Computer science Mathematics » Algorithms Researcher
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during surgery or endoscopic exploration. This postdoctoral position aims at developing innovative deep learning algorithms to help histology classification. Both classical histology based on hematoxylin
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reconstructions from classes [1,2]. This postdoctoral position will primarily focus on the development of AI tools to accelerate MDSPACE, enabling rapid atomic-scale determination of complete conformational
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The postdoc's primary mission will be to optimize feedback (critical incident technique) in high-security contexts using interview protocols developed within the framework of the scientific psychology
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be co-supervised by a researcher from Sorbonne University (regarding the computational method development) and a researcher from the University of Melbourne (regarding the application of the new
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part of the government's PEPR DIADEM program and the regional PSGAR Energie program. The research conducted at IC2MP is part of a comprehensive eco-design approach (see: https://ic2mp.labo.univ
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main mission is to develop the high frequency (Radio
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tax monthly), with 75% of public transportation costs covered by the employer and 44 days of paid leave per year. Within the framework of the PEPR B-BEST program (https://www.pepr-bioproductions.fr
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in nematodes. Much of our work now focuses on the evolution of egg-laying behaviour and the transitions to viviparity. In parallel, we are also interested in characterizing the natural history, ecology