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Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 18 May 2026 - 20:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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to develop a new generation of fluorescence microscopy methods aimed at overcoming current limitations in acquisition time for single-molecule imaging. The project explores original strategies for temporal
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of Research ExperienceNone Additional Information Eligibility criteria PhD in Linguistics, Psycholinguistics or Cognitive Science. Desirable skills: Experience with transcription, annotation, and analysis
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/Qualifications Technical skills in geotechnics, soil mechanics, civil engineering, geology, hydrogeology; Independence, initiative, ability to work in a multidisciplinary team; Good interpersonal skills; Rigorous
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theorists, and its research activity is supported by around 60 engineers, technicians, and administrative staff. Each year, the laboratory welcomes a large number of undergraduate and graduate students
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days ago
/Qualifications Technical skills and level required : mathematics, programming Languages : English Relational skills : good communication skills Specific Requirements The candidate must hold a PhD in machine
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. Qualifications PhD (obtained or near completion) in evolutionary biology, population genetics, genomics, or bioinformatics. Strong background in population genetics and evolutionary biology. Proficiency in
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-scale computational studies. The postdoc will also interact closely with a PhD student working on the behavior of liquids confined by such 2D materials—connecting the research to broader questions in
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of the fabricated samples. Research will be conducted in collaboration with PhD students and members of the Orsay group, using the expertise and manufacturing capabilities of the LPS as well as the neighbouring C2N
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systems. NumPEx aims to support the Computational Scientific and Engineering (CSE) community in leveraging the capabilities and potential of these new architectures through expanded and reusable exascale