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have a PhD in computer science, mathematics, physics, or related fields, with a passion for programming. A desire to contribute to the development of open-source software within the context of the agreed
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to advancing our understanding of the basic mechanisms of aging to develop novel strategies that improve healthspan and lifespan, as well as better treat cancer and other aging-related diseases. About IRCAN
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and epidemiological characterisation of cardiovascular risk among people living with T1D, using multimodal data in the large SFDT1 cohort study. This work will lay the groundwork for developing novel
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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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About the LCSB The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine
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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