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guaranteed. Given the real-time nature of these large complex infrastructures, machine learning techniques can complement more deterministic algorithms to guarantee a reliable operation of the system
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Optimisation and algorithmic complexity (4 credits, 24 hours) Depending on how the course load evolves and registrations in each course, the postholder will be involved in other teaching activities related
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. The current position deals with free-space optical transmission experiments. It will involve challeges with low SNR, atmospheric turbulence issues, coherent recevers and related signal processing algorithms
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and cellular analysis of the ischemic brain using spatial and single-cell transcriptomics Profile of the graduate The graduate understands key areas of informatics, such as algorithms and software
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develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
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pipelines and algorithms to construct and evaluate foundation models for whole-body and abdominal MRI. Alongside this, you will conduct comprehensive and systematic literature and database searches related
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details. We are very passionate about applying ML algorithms and develop AI applied research and innovation solutions using from classic ML to novel transformer neural networks. We test and measure the
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research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
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to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production
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projet ANR 4DPlants (https://4dplants.icube.unistra.fr/ ), financé par le ministère français de l'Enseignement supérieur et de la Recherche, et mené en partenariat par ICube/Université de Strasbourg, RDP