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investigator and will participate in laboratory experiments, data analysis, field work, and work as part of a project team that includes doctoral students and technical staff. The main objectives
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will apply statistical methods for the combined analysis of the obtained data with the aim to retrieve information about both local coordination and chemical composition in these materials
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tomography measurements Fabrication and characterizing of samples in the laboratory. Analysis and interpretation of beamline data Development structure-based multiphysics models to study (electro-)chemo
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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quality that is not visible in blood or clinical characteristics. By combining the results of AI-driven image analysis of histological samples conducted in this PhD project with biomarker data and outcome
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18 Sep 2025 Job Information Organisation/Company CNRS Department Institut Interdisciplinaire de Neurosciences Research Field Neurosciences Biological sciences Researcher Profile First Stage
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be invited to complete a data analysis task to demonstrate quantitative and programming proficiency. Highly qualified applicants will be invited to interview with our team and provide up to 3
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team, you will deal with challenging questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but
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spectroscopic methods suitable for large-scale sample screening and eventual field deployment. The project will also involve developing your skills in data science, including multivariate analysis, machine