125 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions at CNRS in france
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devices. Strong interaction with LGP2/LMGP in particular with the local Ph. D student will allow the comparison with films and optical devices built using other deposition techniques. Particular attention
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Experience1 - 4 Additional Information Eligibility criteria We are looking for a highly motivated, independent, and rigorous candidate with a PhD, excellent organizational skills, and proven ability to work in
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of the LIMASSE program, and more specifically with the LRCS (Amiens), indeed two PhD students (one at LEPMI, one at LRCS) are involved in Li-S technology in the LIMASSE project. Where to apply Website https
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Additional Information Eligibility criteria • PhD in developmental biology, or related fields such as regenerative biology, cell biology, molecular genetics • Experience in microscopy (preferably live
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Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria ● A PhD in
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hold a PhD (or equivalent) in high-energy astrophysics, obtained no earlier than December 1, 2023. Prior experience in gamma-ray astronomy is desirable, but not required. Strong Python programming
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Additional Information Eligibility criteria ● A relevant PhD degree in semiconductor physics, material sciences, or similar. ● Hands-on experience with III-V semiconductor deposition processes (e.g. MOCVD, MBE
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LanguagesFRENCHLevelBasic Research FieldChemistryYears of Research ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Holder of PhD in chemistry, the candidate
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(researchers, teacher-researchers, engineers, technicians and administrative staff) and about 140 PhD students, postdocs and fixed-term contract staff. Each year, the laboratory hosts about 120 interns and
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FieldGeosciencesYears of Research ExperienceNone Additional Information Eligibility criteria The desired skills are (1) a PhD in marine ecology, (2) good experience in using high-frequency sensor data to estimate