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Join a mission-driven team at the forefront of health technology and biomedical research. The Department of Medical Informatics (DMI) serves as the technological backbone of the Luxembourg Institute
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patient clusters and digital phenotypes, leveraging machine learning approaches to identify individuals at high CV risk based on clinical and biochemical markers, immune markers, digital health data (e.g
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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Co-affiliation with the German Research Centre for Artificial Intelligence (DFKI) Saarbrücken The Luxembourg Institute of Health (LIH) is a leading precision medicine institute, connecting clinical
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an increasing number of applications, such as traffic monitoring, structural health monitoring, and natural hazard detection, to name a few. As telecom fibers are ubiquitous in urban environments, DAS represents
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Acoustic Sensing (DAS), is currently experiencing growing interest in an increasing number of applications, e.g., traffic transportation monitoring, structural health monitoring, and natural hazards
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major public health concern taking epidemic proportions: between 6 and 12 million people will be affected in the USA in 2050, and up to 18 million in Europe in 2060 [MOR17]. AF is indeed “the last great
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trauma surgery, affecting approximately 10.3 individuals* per 100,000 inhabitants each year [1]. They represent a significant public health issue due to the high costs associated with dependency and
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interdisciplinary, and together we contribute to science and society. Your role Successful candidate will join the Clinical and Translational Informatics group, led by Dr. Venkata Satagopam, which focuses on bridging
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responsible to develop and test the new software in collaboration with experts of genomics at Joliot and of computer science at MdS. Your mission will include: Discussions and set-up of the physical models