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for Scientific Research), Grenoble-INP (Grenoble Institute of Technology), and the University of Grenoble, affiliated with Inria (French National Institute for Research in Digital Science and Technology) and the
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. Desired skills and qualifications The project is intended for a candidate with a background in physics, fluid mechanics, biophysics, engineering science, or a related field, and a strong interest in
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– Atmosphere” (TOSCA) domain of the CNES. Since 2011, the GET has also been an affiliated unit and a component of the Carnot Institute ISIFoR (Sustainable Engineering of Georesources). This project aims
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. Candidate Profile Applicants should hold a Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should have: a
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(ILM), interacting with PhD students, postdocs, and master's students on related topics. We seek a motivated candidate holding a master's in physics, with skills in ultrafast/nonlinear optics or soft
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materials. This PhD project is part of an original research-creation initiative combining engineering, life sciences and design. Its objective is to develop innovative experimental models to investigate
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sought: Master 2 or equivalent (Bac+5) in materials science and/or materials engineering. Candidates should have excellent skills in experimental characterization techniques and materials science
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Master's degree in Materials Science and/or Computational Methods in Mechanical Engineering (or a closely related field). The successful candidate should demonstrate a strong background in numerical methods
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transport. Qualification. Required: Degree in geosciences, physics, chemistry, engineering or fluid mechanics. Interest in fabrication techniques, experimental development, and multidisciplinary work
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, numerical process simulation, and advanced characterization techniques (synchrotron, TEM, EBSD), will be implemented. The ideal candidate will hold a Master's degree or an engineering degree in Materials