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coordinating undergraduate courses in data and analytics, such as Business Statistics, Management Science, Data Mining, Machine Learning, Predictive Analytics, Advanced Spreadsheet Modeling, and
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interest in time-series modeling and physics-guided machine learning. Proficiency in Python and modern deep learning frameworks (e.g., PyTorch). Strong engineering maturity, including experience with
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developing novel alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL ( Prof. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and
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qualifications: Strong background within machine learning/deep learning, and immunoinformatics is a requirement Knowledge of structural biology and protein structure modeling is a plus Knowledge of the basic
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Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
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Mathjobs.org | 29 days ago
applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and clinical data is important for our work. Prior
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applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and clinical data is important for our work. Prior
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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Faculty Opportunity in Cancer Research – Machine Learning