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project SeaSALT (Seafloor Spreading on Short And Long time scales, PI: J.-A. Olive), which will involve a team of PhD students and post-docs working on different aspects of seafloor spreading (magmatism
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communication in different navigation contexts and different types of flows. The successful candidate will be supervised by Aurore Loisy. They will join a multidisciplinary team of researchers and PhD students
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-Marseille Université (AMU), CNRS and Centrale Marseille (ECM). The LMA employs around 110 people, including 70 permanent staff and some 40 PhD students/post-doctoral researcher. The LMA has nationally and
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collaborations (European MCL Network). The reMoVE-B team gathers around twenty members (faculty, researchers, engineers/technicians, and students) dedicated to studying resistance mechanisms in mature B-cell
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high mountains. 3. Scientific Promotion and Training: • Writing scientific publications and participating in international conferences. • Supervising Master's students on projects related to experimental
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Desired level of education : PhD in physics or related fields Experience required : PhD and/or postdoc experience in one or more of the following areas: theoretical quantum optics, theoretical atomic and
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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
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 15 days ago
theory, and data-driven methods. The postdoc will work in close collaboration with an interdisciplinary group of researchers and students in control theory, signal processing, neuroscience, and sports
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) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
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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