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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 16 days ago
precision and treatment decisions. Within a collaborative project involving researchers, clinicians, and industry partners, the team has developed innovative deep learning–based segmentation methods and built
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control and energy management strategies, including centralized / distributed control approaches, for ESS coordination and ancillary service delivery. Develop optimization algorithms and Al-based methods
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Alcotra RESIL-AV project, which will start on September 1, 2025, and run for a total duration of three years. The objective of this Franco-Italian project is to develop a common approach to a shared
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des Fluides et d'Acoustique - LMFA) develops a continuum of research in fluid mechanics and acoustics, from the understanding and the modelling of physical phenomena to applied research, in
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repeater based quantum internet. To this end, our overall goal is to develop quantum nanophotonic chips, in which colour centres are used for interference exepriments to mediate entanglement between distant
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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obligations [3]. The tool Verdir ma Flotte (VMF, https://verdirmaflotte.fr/ ), developed by IFPEN with the support of ADEME [4], serves as a decision-support and educational platform. It enables users
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biodiversity. 2. Develop a conceptual and/or methodological framework, grounded in existing literature, to empirically test the impact of species (or groups of species) on ecosystem functioning. 3. Test the
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malignancies, such as Multiple Myeloma and Mantle cell lymphoma. To uncover vulnerabilities within the tumor ecosystem, we combine fundamental and translational approaches, working closely with the University