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and image analysis - Knowledge in in vivo physiology (e.g. calcium imaging) and bioinformatic analysis - Ability to conceive, execute, and complete research projects - Ability to design experiments and
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spectroscopies) is essential, along with familiarity with operando methods to study catalysts under real-world conditions. Knowledge of heterogeneous catalysis and CO₂ methanation would be an advantage, as would
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); - Experience in electrical measurements on nanodevices and 2D materials; - Knowledge of radiation–matter interactions; - Solid background in elasticity, strain engineering, numerical simulation tools (COMSOL
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/Pytorch/scikitlearn deep learning platforms - Knowledge of biology and medical imaging methods: MRI, MRS - English: high level Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7348
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strong expertise in techniques ranging from synthesis to characterization. Specific knowledge of water- and oxygen-sensitive polymerizations is highly desirable. Familiarity with a programming language
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Additional Information Eligibility criteria Transversal knowledge required : - Expertise in machine learning and deep learning in particular - Knowledge in ecology, marine biology, or oceanography would be a
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Experience with detector hardware and knowledge in silicon-based detectors - Expertise in C++ and python programming - Strong
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, knowledge in wet processes will be appreciated - Expertise in inks formulations - Background in Electrochromism, battery field, will be appreciated - Materials physico-chemical characterizations - Report
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of Research ExperienceNone Additional Information Eligibility criteria • PhD in condensed matter physics, quantum optics, or materials science. • Strong skills in optical characterizations. • Knowledge
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environment and a wide range of skills and knowledge to acquire on parasite biology. The University of Montpellier was founded in 1220 and is one of the oldest universities in the world. With over 50,000