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involved in various growth processes throughout the plant life cycle. Main objectives will be the prediction of GA-binding residues, their validation using molecular analysis, and the screening for novel GA
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has seen the most innovation, and currently, objects of different sizes (from micrometres to several metres) can be produced. The aim of the research project will be to develop medical devices using
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manage a research system - Propose an approach adapted to the study objects of the team members - Implement methods or protocols for collecting data or corpus, ensure analysis and interpret the results
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(MERCE). The main objective is to develop safe planning and reinforcement learning algorithms with various degrees of confidence for variants of Markov decision processes. More precisely, we will develop
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additional modification. This phenomenon gives rise to out-of-plane ferroelectric domains. The goal of this postdoctoral position is to optically detect, track, and ultimately control the ferroelectric state
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- Experience in computer programming, if possible object-oriented (ideally C++) - Experience in modeling complex chemical systems, and/or in mathematical/computational analysis of multistable dynamical systems
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(PROCOP), in collaboration with the University of Technology of Compiègne and Sorbonne University. The recruited PhD candidate will join the Institute of Chemistry and Biology of Membranes and Nano-objects
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research problems in chemistry (ANR TcPredictor project) and to the study of materials under pressure, in particular superconducting hydrides; implementation of a multi-objective Tc-energy approach
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unit (UMR 7588) of the CNRS and Sorbonne University. It is directed by Massimiliano Marangolo, a professor at Sorbonne University. Its scientific objectives are at the heart of fundamental research in
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research direction. The objective of the Aime-AO project (funded by the ANR France) is to design and develop new MAO-based supported activators which, through metallocene activation, are capable