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The project you will work on lies on the boundary between AI and theoretical physics. Physics has been a source of inspiration for innovation since the early days of machine learning. In particular
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nonlinear interactions at the origin of such extreme events. In this project, we will explore the use of cutting-edge scientific machine learning framework that blends deep learning with physics-based
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will explore the use of cutting-edge scientific machine learning framework that blends deep learning with physics-based techniques to achieve the goals of (i) identifying precursors and mechanisms
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structure bioinformatics and machine learning, who is also not afraid to participate in wet-lab experiments to generate the best possible training datasets. The human gut microbiome plays a crucial role in
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Challenge: Analyse properties of biological systems Change: Develop novel control theory and machine learning methods to study natural systems and their robustness Impact: Produce new intelligent
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. On this PhD project you will develop novel systems biology methods employing control and analysis of dynamical models, and machine learning models, in particular neural networks. The developed methods will be
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position within a Research Infrastructure? No Offer Description Do you enjoy solving challenging machine learning problems on complex real-world data, and are you interested in the fintech (financial
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position within a Research Infrastructure? No Offer Description Are you eager to apply cutting-edge machine learning techniques, develop innovative algorithms, and tackle real-life challenges associated with
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conflicting goals related to utilization and maintenance plans. Machine learning algorithms play a crucial role in predicting equipment lifetime and performance, as well as detecting abnormalities by analyzing
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position within a Research Infrastructure? No Offer Description Are you interested to work, in an interdisciplinary research setting, on topics at the intersection of logic, machine learning and automated