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be studied rigorously. Applicants may have a background in natural language processing, computational linguistics, computer science, machine learning, artificial intelligence, data science, digital
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. A strong background in energy-system modelling, mathematical optimization, machine learning, reinforcement learning, or data-driven decision-making is appreciated. Experience with programming and
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Laboratory and field-based structural testing and data acquisition Direct and indirect sensing methods for bridges, including remote sensing techniques Machine learning and artificial intelligence for
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | about 2 months ago
), including uncertainty estimates. You will work on extending neural processes to large-scale, multimodal geospatial data, a setting that remains largely unexplored in current machine learning
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student is expected to develop and apply methods for causal inference will be part of the SMARTbiomed Pioneer centre https://SMARTbiomed.dk/about-SMARTbiomed. Project Description The PhD project will
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering
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and operations in the following areas: Soil & Groundwater; Deactivation & Decommissioning; Tank Waste; Robotics; Machine Learning; Artificial Intelligence; Cybersecurity; and Advanced Manufacturing
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advising is desired. Special Instructions Please submit the following materials through the ARIeS portal ( https://academicpositions.harvard.edu ). Review will begin on November 1, 2026; applications
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Mathjobs.org | 18 days ago
departmental strategy for AI. Our current faculty’s research includes AI methods in: Life Sciences and Health, Scientific Machine Learning, Operator Learning, Geometric & Topological Data Analysis, Quantum
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departmental strategy for AI. Our current faculty’s research includes AI methods in: Life Sciences and Health, Scientific Machine Learning, Operator Learning, Geometric & Topological Data Analysis, Quantum