53 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"University-of-Essex" positions at Nature Careers in France
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The Luxembourg Institute of Health (LIH) is seeking a highly motivated Data Scientist in AI with strong expertise in one or several of the following data types: multi-omics (e.g., DNA-seq, RNA-seq
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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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for the first time using longitudinal data from the RNC. This study investigated a range of research questions using RNC breast cancer data and explored potential secondary data linkages. The aim is to
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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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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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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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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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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607
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initiation. To this end, researchers are focusing on the development of new data-driven approaches integrating imaging information and patient physiological characteristics to improve the simulation and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and