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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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. Connections working at University at Buffalo (SUNY) More Jobs from This Employer https://main.hercjobs.org/jobs/21335342/senior-research-engineer-machine-learning-systems Return to Search Results
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postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML
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for the position of assistant professor in the project NCN MAESTRO "Challenging problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning
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of Engineering Position Headcount 2 Position Title Summer Engineering Academy Student Employee- Machine Learning Academic Year Summer 2025 Term or Semester Summer Is this Role for an Undergrad or Grad Student
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Web Programming & Machine Learning Engineer (KTP Associate) Apply online Job number SST00266 School / Service School of Science & Technology Department Department of Computer Science Location
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28.05.2025, Wissenschaftliches Personal We are looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating machine learning, molecular simulations
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] Subject Areas: Machine Learning Complex Systems Theoretical Physics / Statistical physics Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine