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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 13 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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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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candidate will work with the PI of the project (André Belotto da Silva) and with the Singularity Theory group at the IMJ-PRG. Research activities in the fields of Singularity Theory, Algebraic Geometry, and
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A postdoctoral position is available to study dynamic processes in early development of insects and mammals. Successful candidates will join a collaborative and interdisciplinary venture in
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involved during capillary debinding through the use of specimens and model tests • Understand the influence of processing parameters on debinding mechanisms and kinetics • Determine the influence of
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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
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 4 days ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights
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focuses on the transfer of ionic and electronic charges at the interface of materials, which are the cause of many limitations and degradation processes in batteries. The goal is to characterize the state
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focuses on understanding magmatic processes, examining everything from the structure of the deep mantle to surface volcanic activity. The Laboratory consists of about 60 tenured researchers. The research
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expected to research the most suitable data for describing roadside areas, study their availability and/or acquisition methods, and then process this data. Preferred sites will be identified prior