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commensurate with experience. A PhD in cosmology, astrophysics, or theoretical physics is required by the start date. The start date is October 1st- 2026. Application Procedure: Applications should be submitted
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Education Level: PhD in insect physiology or behavioral ecology. Desired Experience: Experience in insect breeding, microscopy, behavioral data processing, and analysis and processing of proteomics and
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... ) and molecular systems (DNA, RNA, enzymes...). We study various aspects of these systems such as topology, self-assembly, interfaces, information processing, evolution..., while also developing general
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FieldChemistry » Physical chemistryYears of Research Experience1 - 4 Research FieldChemistry » Computational chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria 1) PhD in
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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- 4 Additional Information Eligibility criteria We are looking for a curious and highly motivated person holding a PhD in microbiology with demonstrated expertise in bacterial culture and genetics and
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FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in physics - Research record demonstrating a
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sciencesYears of Research ExperienceNone Additional Information Eligibility criteria Education: PhD in cell biology, neurobiology, or a related field. Candidates who have completed a first postdoctoral fellowship
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applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we