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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 4 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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neuroscience or signal processing. - You have good communication skills in English (speaking French is not a requirement). Research environment: Research will be conducted at the Institute for Neurosciences
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FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
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live in. Your role Conduct research related to the topics of the Signal Transduction Laboratory Participation in teaching activities at Bachelor and Master level (Co-) Supervision of master and PhD
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developed for GaAs-based heterostructures, to the new germanium-based material system. His/her work will include the fabrication of quantum point contacts, quantum dots, and quantum interferometers as
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to predict memory accesses and anticipate page faults. At present, it is almost impossible to execute AI models in kernel space, since floating-point operations—required by AI workloads—are not supported
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here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological
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the relationship between the increase in atmospheric CO₂ concentration and its sequestration as carbonates, particularly influenced by microbial processes. It focuses on the formation of carbonate sludge in various
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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