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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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demonstrator for a Mott memory nanocrossbar based on the chalcogenide materials GaV4S8 and NiS2. It includes the development of a fabrication process for the integration of innovative nanoelectrodes, as
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Réactions et Génie des Procédés) in Nancy (University of Lorraine – CNRS), within a research environment recognized for its expertise in Process Systems Engineering (PSE) as well as in applied thermodynamics
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7 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 27 Mar 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job...
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) institute, Grenoble. The process parameters will be calibrated on the experimental ones obtained at Institut Jean Lamour (IJL), Nancy. The thesis results will allow to calibrate simulations at the meso- and
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efficiency Optical neuromorphic computing is emerging as a promising alternative to classical electronic architectures, offering advantages in terms of speed, energy consumption, and parallelism. Nonlinear
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skills: Proficiency in cell culture techniques and standard molecular and cell biology methods. • Computational skills: Experience in image processing (FIJI) and/or bioinformatics tools and/or programming
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of absorbed light energy effectively converted into mechanical work. In parallel, the influence of the local polymer environment (the “photomorphon”) on photoswitch performance will be investigated using non
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analytical and bioinformatics tools to analyse and interpret data To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges