263 phd-in-architecture-landscape-built-environment Postdoctoral positions at CNRS in France
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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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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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losses, higher switching frequencies, higher operating temperatures, robustness in harsh environments and high breakdown voltages. The deployment of SiC (3kV MOSFETs [1]) and GaN (future JFET 1.2kV [2, 3
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- 4 Additional Information Eligibility criteria • PhD in cognitive neuroscience or neuroimaging. • Strong experience in acquisition and analysis of EEG and/or fMRI data. • Previous experience with
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implicated in: - several European project meetings - writing scientific articles, and grant progress reports - supervising masters /PhD students. The work will be carried out in the “Nanostructures: growth
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» AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in one of the following areas (or related fields): * Machine learning / deep learning * Quantum computing / quantum
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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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Additional Information Eligibility criteria Transversal knowledge required : - PhD in oceanography or marine biology - Knowledge in plankton ecology (and basic taxonomy), with a specific focus on phytoplankton
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physics, high energy physics, theoretical physics, astroparticles, astrophysics and cosmology, particle accelerators, energy and the environment and health. IJCLab has very significant technical capacities
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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