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life. Expected skills : • Master in chemistry with a background in coordination chemistry, organic chemistry or related fields • Routine in preparative synthesis (including work under inert gas
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. The Meiosis and Recombination team is multinational (France, Switzerland, Italy, India) and consists of three researchers, two engineers, one PhD student, and several master's students. The working language is
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work is part of a study of different strategies for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective of the work is to adjust the chiral properties in order to
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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, around a hundred PhD students and almost as many other staff such as master's students, post-docs and visiting professors, G2Elab is a major player in these fields at national and international level, at
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enrolled in a doctoral programme during the project should comply with the mobility rules: in general, they must not have resided or carried out their main activity (work, studies, etc.) in the country
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 13 days ago
reports. Write scientific reports. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09348 Requirements Skills/Qualifications Technical skills and level required: master's level in
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications The candidate, holding a Master's degree or an engineering diploma, should have a solid background in the field of Electrical Engineering and
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activities (monitorship). - Participate in the supervision of trainees up to Master's level. Skills : - Mastery of the basic theoretical and algorithmic aspects of signal processing. - Proficiency in