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candidate holds a PhD in chemistry, biochemistry or biophysics (or related discipline), and a strong interest in interdisciplinary work on (viral) proteins. S/he will have experience in structural biology
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and Climat program as well as other ongoing projects involving the supervisors, such as the OceanIA team of INRIA https://oceania.inria.cl/ . Finally, he/she will also work closely with a PhD student
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public engagement For further information about this position, please contact: Your profile PhD in History, Digital Humanities, Data Science, or a related field Demonstrated experience in interdisciplinary
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results in leading conferences and journals Required Qualifications PhD in one of the following areas (or related fields): Machine learning / deep learning Quantum computing / quantum information Applied
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 9 hours ago
special attention from both mathematical and computational standpoints. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09335 Requirements Skills/Qualifications PhD in machine
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-montpellier.fr/fr/cartigenhttps://irmb-montpellier.fr/single-service/osteostart-platform/](https://irmb-montpellier.fr/single-service/osteostart-platform/---REQUIRED QUALIFICATIONS* Recent (≤2 years) PhD in
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chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling
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that this will lead to a tenured position. Required Education Level or Diploma PhD, Biology Contract The selected candidate will be hired by INSERM to work at CRCI2NA under the direct supervision of Dr. David
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if required by the project, the structure or the needs of the laboratory. For further information, please contact Prof. Dr. Elisabeth Letellier Your profile PhD in Biological Sciences or a related discipline
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contracts and 102 doctoral students. This research activity will be carried out within the CMS team, which is right now composed of 12 permanent researchers, 4 PhD students, and 10 engineers. The recruited