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Desired level of education : PhD in physics or related fields Experience required : PhD and/or postdoc experience in one or more of the following areas: theoretical quantum optics, theoretical atomic and
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copolymers, which will then be evaluated for their degradability and mechanical properties. Using active learning, a branch of AI, the research will be guided through the large parameter space of copolymers
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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) and Aurélien Quiquet from the Laboratoire des Sciences du Climat et Environnement (LSCE), an expert of the GRISLI model, in interaction with the PhD student on the ANR Delta project (coordinated by Y
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 10 days ago
Post-doctoral Position In Medical Image Processing The Computer-Assisted Medical Interventions (CAMI) team at the TIMC laboratory (Grenoble, France) is seeking a highly motivated postdoctoral researcher
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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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short postdoctoral position to work on the psychology of poverty and desperation in a continuation ANR project 'THRESHOLD'. For someone with suitable research experience, a PhD in Economics, and
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-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven
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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire