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learning community. Basically, once the observed data is identified with a probability distribution (possibly the empirical mass function), optimal transport allows to consistently assess the similarity
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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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bridging disciplines and fostering collaboration between researchers, policymakers, and society. Your role Leading innovative data management strategies for LCSES, including acquisition from international
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named in the following format: LAST NAME of the candidate_Last Name of the supervisor_2021.pdf Description of the topic: Several factors can contribute to missing values in a study, including data loss
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Interdisciplinary Research Chairs to further enrich its community of researchers working at the interface of different disciplines. Join DYNABIO as a Group Leader in Biological Data Science This is a unique
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Offer description A post-doctoral position for 24 months is available immediately for an advanced scientist in data science and modeling at the Centre for Research and Innovation in Humans (CERIAH
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production of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact
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of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact through text
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Leveraging the spatio-temporal coherence of distributed fiber optic sensing data with Machine Learning methods on Riemannian manifolds Apply by sending an email directly to the supervisor
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statistics and machine learning, focused on identifying abrupt shifts in the properties of data over time. These shifts, known as change-points, indicate transitions in the underlying distribution or dynamics