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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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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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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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with Prof. Olivares-Mendez and Dr. Carol Martinez, the members of the Space Robotics (SpaceR) research group (www.spacer.lu ) and Redwire Space Luxembourg (https://redwirespace.com/ ). The group works
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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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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
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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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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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. Examples of research might include (but are in no way limited to) understanding the impact of algorithmic recommendations on political discourse; exploring how AI and machine learning can support new models
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 1 day ago
for foreign signals intelligence, cyber operations and cyber security. Learn more about our mission: https://www.cse-cst.gc.ca/en/mission . CSE is committed to fostering a culture of equity, diversity and