Sort by
Refine Your Search
-
funded by the TIRIS program “Interdisciplinarity and impact of science for society” of the University of Toulouse. As part of this contract, the aim will be to acquire multi-isotope data on gold materials
-
—such as reinforcement learning and meta-learning—he/she will develop advanced feedback loops that allow dynamic, real-time adjustments of agent models and interrogation strategies. This proactive approach
-
; the candidate should therefore have a team spirit and an interest in conducting research with colleagues from other backgrounds. The candidate will acquire expertise in conducting research projects centered
-
the opportunity to acquire knowledge and multidisciplinary know‐how in inorganic chemistry, materials science, physico-chemistry of hydrates, and photophysical characterizations. In addition, the candidate will
-
organized in four poles: “Computer Mathematics”, “Data Analytics and Machine Learning”, “Efficient and Secure Communications”, “Modeling, Simulation and Learning” and “Proofs and Algorithms”. The Ph.D
-
the student to acquire different complementary knowledges Selected references: a) J. Crassous, et al. J. Am. Chem. Soc. 2022, 144, 7709; b) S. Rigaut, et al. J. Am. Chem. Soc., 2019. 141, 20026; c) J. Crassous