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streams. We work closely with a network of collaborators and public health agencies in France and abroad. A few studies illustrating our approach and the diversity of the questions we investigate: Using
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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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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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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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? Are you our future colleague? Apply now! Required Qualifications Master degree or PhD in Computer Science or related topic in the sectors of Smart Cities, AI/Robotics, Computer Science, Urban Systems
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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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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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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