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health services research; Support data collection, cleaning, management and descriptive analysis; Participate in the development of infographics; Contribute to the drafting of a scientific paper based on
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) — to join our team. You will be directly involved in developing and optimizing ion beam processes to improve device performance in MRAM and magnetic sensor applications. Beyond R&D, we are looking for a
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addition, this role also offers the opportunity to develop independent research projects aligned with the group’s overarching goals. You are expected to learn and implement innovative techniques, participate
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the European Testing and Experimentation Facility (TEF) for AI and Robotics in Smart Cities and Communities. With 15 test sites across the EU, it supports companies and public actors in developing
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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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and interpretation. Prominent examples include time sequences on groups and manifolds, time sequences of graphs, and graph signals. The objectives The project aims to develop unsupervised online CPD
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motivated the development of Federated Learning (FL) [1,2], a framework for on-device collaborative training of machine learning models. FL algorithms like FedAvg [3] allow clients to train a common global
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the Director of DMI in translating strategic vision into effective day-to-day IT execution. Develop and implement a long-term IT operations strategy aligned with DMI’s missions, LIH scientific goals and
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immune cells in Alzheimer’s disease. Our lab investigates how immune cells and signals shape brain development, activity, and aging. In this project, we aim to dissect the contribution of adaptive immune
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, you will be a member of a team of 8 to 10 energy system modelers. You will contribute to the development, maintenance and use of our linear programming-based dispatch and unit commitment model of the EU