161 phd-in-architecture-and-built-environment Postdoctoral research jobs at CNRS in France
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environment and a wide range of skills and knowledge to acquire on parasite biology. The University of Montpellier was founded in 1220 and is one of the oldest universities in the world. With over 50,000
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doctoral students, within the mathematical community and beyond. The Chair is open to all fields of mathematical science and mathematics in interaction. Each semester is built around a wide-ranging program
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; - Testing on Grid 5000-type server clusters, with energy profiling. - Testing on distributed data centers built using recovered hardware and hosted on private premises (e.g., the Deuxfleurs service) and
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FieldEconomicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldEconomicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD on the economic modelling of the oil market
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departments (from Paris-Saclay university and from Université Lyon 1), and involves 7 PIs and 5 postdocs and PhD students devoted to distinct workpackages of the project. The postdoc will be based at EGCE
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computer clusters and french HPC time. COSMOS-Web is an international team of >100 permanent researchers, post-docs, PhD students, mainly in the US and Europe. The successful candidate will be in contact
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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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FieldBiological sciencesYears of Research ExperienceNone Research FieldTechnology » BiotechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD in an appropriate biological field
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of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria We are looking for a colleague with a PhD in particle physics. Experience with machine learning and/or experience with