516 phd-in-architecture-interior-design-built-environment Postdoctoral positions in France
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of Research ExperienceNone Additional Information Eligibility criteria Knowledge: PhD in Neuroscience In-depth knowledge of neurophysiology Mastery of in vivo recording techniques in rodents Strong knowledge
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education center, offering an environment that is highly conducive to scientific development. Open and welcoming, it is a place teeming with interaction, with a diverse student population, efficient support
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sciences » OtherEducation LevelPhD or equivalent Skills/Qualifications PhD in one of the following fields: environmental or energy social sciences, sociology of law, sociology of public action, sociology
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: Anthropology, Architecture and Design, History MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Archaeology, Design History, History of Art, History of History, History of Religion, Museology, Spatial Planning, Textile
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, synthesis, characterization, reactivity and analysis in various environments. The Institute's expertise is based on a number of key skills: theorists in quantum chemistry, molecular and reaction dynamics
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the potential of RL, it is essential to design a framework that connects an RL environments with suitable execution environments. The primary focus will be on developing advanced RL methodologies, particularly
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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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Japan, and in FERMI, HESS and CTA for gamma-ray astronomy. The CMS group of LLR is a founding member of the CMS Collaboration and is composed of about 30 members. It has designed, built, and is
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molecular architecture on semiconductor surfaces ; Study of the influence of structural properties on device sensitivity · Preparation of organic monolayers with controlled architectures/structural properties
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
(perfusion imaging) and response to radiotherapy assessment. These models will explore recent diffusion and auto-regressive generative architectures. They will leverage Mixture of Experts, Chain of Thought and