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Field
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des algorithmes d'apprentissage automatique (IA et Machine Learning) pour prendre en compte les phénomènes de dérives et permettre l'auto calibration des mesures
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algorithm showed very good results on simulation data and experimental data (https://doi.org/10.1364/OL.566273 ). However, this approach requires perfect knowledge of the lidar parameters. Thus, we propose
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underwater robots. - Designing, implementing, and evaluating navigation, control, and mission planning algorithms. - Studying multi-robot coordination and human-robot teaming strategies. - Participating in
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applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute
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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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otherwise be lost in the glare of their host stars. The primary goal of this PhD is to develop a novel active algorithm capable of achieving real-time starlight suppression across all wavelengths. The PhD
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generalized parton distributions (GPDs). A key component of the PhD will also involve the development of novel algorithms designed to overcome current computational and theoretical challenges in hadron
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: https://www.list.lu/ How will you contribute? Contributing to multiple R&D projects in the AIRA team, an R&T Scientist position is opened to contribute with algorithms and models in data-driven and
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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and optimising secondary prevention therapies, including:Drafting, testing and implementation of the clinical algorithm used in clinical practice to be implemented by the tool to assign a patient