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educational tools such as digital microbiology platforms, virtual labs, simulation-based training, and case-based learning. Working closely with faculty members and clinical partners, the successful candidate
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French National Institute for Health Research (INSERM) | Paris 15, le de France | France | 2 months ago
be involved in the training of future epidemiologists. he/she will teach 60 hours per year (in French or English) for the duration of their term, and: - Coordinate the Master 2 Epidemiology and
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French National Institute for Health Research (INSERM) | La Reunion, Aquitaine | France | 2 months ago
Health Sciences, which has been restructured according to a skills-based approach and learning and assessment situations (SAE), the CPJ will be involved in teaching virology, microbiology and cell biology.
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
wall motion will be extracted from dynamic 4D flow MRI (20 phases per cycle) via an in-house deep learning-based segmentation tool. Mean flow velocities in the pulmonary veins have also been measured by
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possess expertise in a broad range of topics in condensed matter, including magnetism, superconductivity, topological matter, and low-dimensional quantum matter. The candidate will learn and master a
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) to join our team and contribute to ongoing research projects. Key Accountabilities Acquire technical and theoretical knowledge through close supervision and training; Perform cell culture and image-based
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of language learning and experience of doing qualitative research Ability to work in a multidisciplinary research environment Good analytical and problem-solving skills Experience of and interest in
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[email protected] in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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(NIMS, Seagate). The student will be trained on a femtosecond laser bench, and learn extensively about aspects such as spintronics, ultrafast optics, near field microscopy, material growth and clean room
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented