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participates in the “Objectif Employeur Pro-Vélo” program. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9002-CHABOU-009/Default.aspx Requirements Research FieldBiological sciencesEducation
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
-dimensional datasets. Knowledge of experimental design, statistical analysis, model validation, and reproducible computational research practices. Evidence of scholarly productivity through peer-reviewed
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Sahoo and perform molecular/cellular studies of neuronal development using in vivo (mouse models) and in vitro (cultured primary neurons) models, involving skilled surgical procedures on mice and rats
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, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure, function, and dynamics across individuals and populations. Key Responsibilities The postdoctoral fellow will
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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motivated and talented researchers to join the SOLIS consortium. These roles offer an exciting opportunity to conduct research at the nexus of energy transition, sustainable finance, business model innovation
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models, performance evaluation criteria, and the grant contract model are those approved under the University of Coimbra's Research Grant Regulations. Where to apply Website https://apply.uc.pt
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excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences