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of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must hold a doctorate in geosciences and/or planetology with knowledge of geomagnetism and core dynamics. Experience with
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generation of batteries. The AMIE LabCom gathers academic and private researchers in experimental and computational chemistry, material science, electrochemistry, and engineering. It aims at elucidating
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Experience1 - 4 Additional Information Eligibility criteria Requirement: - Doctorate in chemistry preferably with heterogeneous catalysis as specialty Skills: - Experience in preparation, characterization and
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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
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or equivalent Skills/Qualifications PhD in analytical chemistry, physical chemistry, or materials science. Solid experience in spectroscopy, imaging techniques, and electrochemistry is expected. LanguagesENGLISH
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knowledge of biophysical techniques applied to the study of proteins - Expertise in membrane protein biochemistry - Experience in cryoEM is a plus - Good command of English (oral and written) - Writing and
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facilities. The researcher will also conduct coupling experiments on cells in partnership with other teams in Nantes, in particular at the TaRGeT laboratory, under the supervision of Mathieu Mével. Where
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prosthesis - You are a team player and enjoy solving problems, finding original solutions. - You have a strong interest and ideally former experiences in system neuroscience, optogenetics, computational
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candidate will have the opportunity to collaborate with all the members of the LabCom. The development of the model will rely on the available experimental characterizations of these interfaces and will focus
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Processing Skills required: - Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants) - Artificial Intelligence skills and deep learning experience - Proficiency in Tensorflow