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- University of Luxembourg
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- Luxembourg Institute of Health (LIH)
- European Magnetism Association EMA
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Field
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strong background in optimization and machine learning. Good coding skills in Python, PyTorch are welcomed. Application Applications should contain a CV, a motivation letter, the grade records of the last
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to strengthen your skills, acquire new ones, and enhance your mission. A work-life balance recognized by our team members. Remote work options to reduce commuting time and improve your quality of life. A rich
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medicine, nursing sciences, and midwifery. The role includes the implementation of a state-of-the-art public health curriculum, incorporating advanced educational tools such as digital learning platforms
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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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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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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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) 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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(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