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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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automated configuration mechanisms based on fingerprinting and machine learning to ensure traffic analysis remains faithful to the behavior of the monitored machines. Finally, you will validate your solutions
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Superior Técnico, Portugal and 27 associated partners (from 10 countries) Format: double PhD degree, granted by two universities in Europe; see the list of main partners: https://www.eu4greenfielddata.eu
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Position Details Position Information Position Title Part-Time Academic (ASPC2008 Digital Electronics and Computer Interfacing) - Summer 2026 Posting Number PTAP3183P Department/Unit Extended
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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for farm-farm interaction Development of coupled LES and aero-elastic models using the actuator line method Analysis and design of wind farm control through LES and machine learning Scientific publication
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on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
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optimization is essential. Where to apply Website https://www.academictransfer.com/en/jobs/359385/phd-on-multidomain-system-topol… Requirements Specific Requirements A master’s degree (or an equivalent
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and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The Hubbell Research Group focuses on developing cutting-edge biomaterials and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 7 hours ago
AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models to uncover how gene expression and mechanical forces interact