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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
: Good programming skills, preferably in Python, and strong analytical abilities. A solid background in machine learning, computer security, privacy, distributed systems, or a closely related area
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for measurement automation and data analysis Machine learning or Artificial Intelligence methods You enjoy hands-on experimental work, have strong analytical skills and are motivated to develop innovative sensing
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systems training requirements. Ability to work independently and as part of a team. Analytical skills and the ability to resolve technical or research problems and issues and to interpret the acceptability
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microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution of semiparacrystalline (SPC) morphology with device
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biointerfacing synthesis and Structural and physicochemical characterization of electrode materials (porous carbons, conductive polymers, porous polymers) and electrolytes: application of modern analytical methods
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–fungus system and identify new opportunities for sustainable crop protection. The student will receive advanced interdisciplinary training in behavioural ecology, fungal biology, analytical chemistry, mass
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candidate should demonstrate: - strong analytical and problem-solving skills; - enthusiasm for scientific research; - ability to work independently as well as collaboratively in multidisciplinary teams
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discipline within social sciences, such as Environmental Psychology, Sociology, Social Psychology, Political Science, Sustainability Studies, or a related field. Possesses strong quantitative analytical skills
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applied to computer vision and image analysis. Analytical thinking and problem-structuring skills, including the ability to abstract complex systems, identify core research challenges, and develop
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techniques, including KKT conditions or ADMM algorithms, would be appreciated • Interest in flexibility management, game theory, equilibrium problems, or multi-energy systems • Strong analytical, research, and