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Research FieldLanguage sciences » LanguagesYears of Research ExperienceNone Additional Information Eligibility criteria PhD in a field relevant to the TGL project. Good knowledge of Latin. Good knowledge
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. This is a full-time job. Applicant should hold or obtain soon a PhD in the field of Biology. Salary will be according to the CNRS scale. Our team is composed of about 20 people and we are working in a
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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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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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Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 12 Dec 2025 - 20:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer
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Mastering isotope geochemistry methods, including clean lab work and MC-ICPMS. Independence Good writing skills Obligations and risks > 35 h/week > no remote working Training and experience required > PhD in
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CNRS – Inserm – Aix Marseille University | Marseille, Provence Alpes Cote d Azur | France | 18 days ago
immunity. Requirements: A PhD in immunology, microbiology, or a related field. Strong background in B cell biology, adaptive immunity, or infectious disease models. Experience with mouse models, flow
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ferroelectric properties. With a large number of permanent researchers, engineers and PhD students as well as strong interactions with industry, the LAAS-CNRS is situated at the crossing between scientific
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criteria • PhD in Physical Chemistry, Physics, or a closely related discipline • Strong hands-on experience with ultra-high vacuum (UHV) systems, infrared spectroscopy, cryogenics, and/or molecular beam
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image