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readiness. The successful candidate is expected to develop a program that bridges basic discovery and translational application, with the potential to advance precision ophthalmology for rare genetic diseases
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regulator of melanoma dissemination. The successful candidate will work under the direction of the team leader, Julien Ablain, and will: Participate in project design; Develop and optimize experimental
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vision frameworks, applied machine learning techniques, and medical imaging standards Develop user-friendly front-end interfaces, web dashboards, or software demonstrators to make biomedical image analysis
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
, but current strategies to identify patients in whom it will be beneficial lack efficiency. Aim The main goal of this project is to develop innovative point of care tools for the prediction and
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to mid-career level) to develop creative research to alleviate and cure deafness through innovative approaches. Experts in inner ear therapy including pharmacological treatment, gene/epigenetic therapy and
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
and current architectures such as attention mechanisms or Transformers. ● Strong deep learning engineering skills: able to design, train, debug, and run models end to end, and to read, reproduce, and
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collaborative, with the goal of using imaging to understand the fundamentals of cellular/tissue biology and their subversion by pathological and infectious processes. Our R&D is based on the need to develop