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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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an advantage: plasma surface functionalization; electrode/electrolyte interfaces; battery degradation modelling; microstructure-resolved modelling; tomography or image-based electrode modelling; machine learning
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-areal communication in the brain. We use a combination of in vivo calcium imaging and Neuropixels recordings as well as computational modelling techniques. The department is embedded in the vibrant
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Intelligence in Medical Imaging This project develops a European infrastructure supporting the secure use of artificial intelligence for cancer research. Responsibilities Virtual Human Twins (VHT) You will
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postdoctoral researcher to join our group at the Institute of Genetics and Development in Rennes (IGDR), France (https://igdr.univ-rennes.fr/en ). Research in the Cyclochondria team led by Giulia Bertolin (https
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projects within the lab’s research program Perform in vivo calcium imaging and behavioral experiments Analyze neuronal and microglial activity datasets (e.g., calcium imaging) Conduct immunohistochemistry
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if the candidate has gained solid experience in relevant omics analyses (esp. Single-cell methodologies and/or multi-omics). Experience in live cell image analysis, and/or metabolic analyses is a plus, as we also
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synchrotron or laboratory 3D diffraction imaging is considered as a significant advantage. Excellent English communication skills are also essential As a formal qualification, you must hold a PhD degree (or
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
of the actuated soft-robot phantom (WP3 "PHANTOM", task T3.3), from architecture definition through experimental validation of the prototype (deliverables D3.4, D3.5). For a better knowledge of the proposed
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following