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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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learning, focusing on identifying abrupt shifts in the properties of data over time. These shifts, commonly referred to as change-points, indicate transitions in the underlying distribution or dynamics of a
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of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor Description of the topic: Optical fiber, in addition to being a means of transmitting information, is also a
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Data Management and Network/Computing ContinuumCloud computing has significantly increased the volume of data consumed daily, but it has also centralized somehow the storage of data. With
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The generalization of new generation sequencing data (i.e., multi-omics: genomics, transcriptomics, proteomics, ...) as well as the emergence of new methods (single cell sequencing, spatial
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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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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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which neural network effectively conveys this information are central questions in the field of hearing and neuroscience in general. We are developing several complementary approaches to answer
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material on team science, adapt to LCSES requirements Ensure close collaboration with the LCSES Data Science and Science-Policy Team as well as the Universities Institute of Advance Studies (IAS) Your
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of Computer Science (DCS) investigates and contributes to shaping the information and communication technology-society interface. DCS promotes interdisciplinary research and closely cooperates with other high-profile