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21 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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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 | about 10 hours 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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molecular targets critical for developing new therapies for rare diseases, based on genetic data and biological system simulations. -Computational Drug Repurposing: Developing novel algorithms and databases
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processes (development, immunity, stress responses, etc.). RNA stability regulation has been associated with the pathophysiology of various diseases [3–5]. This mechanism is especially important when rapid
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Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the EIC Pathfinder project ELEQUANT, we aim to develop a new quantum materials platform based
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strong interest in developing new, rapid, and efficient methods for protein functionalization with CS, as a complement to current enzymatic or metabolic engineering approaches, which are generally limited
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with advanced microscopy techniques.At the core of this platform is the **SOLANO miniaturized hexapod robot**, developed by the industrial partner Symétrie, which enables submicron-resolution, multi
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Center is to develop fundamental research and use the knowledge generated to improve the diagnosis, prognosis and therapeutics of cancers within the continuum between fundamental research and innovation