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combination of physics-based, and data-driven AI-based approaches employing neural-networks and machine learning, this project will develop and validate a multi-time scale DT concept for advanced condition
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developing innovative solutions for integrating geophysical data and machine learning approaches for geological modelling and site characterization. The position is expected to perform independent and
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all
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language models, machine learning, or AI-driven data analysis Strong programming skills (Python required; R and/or Julia a plus) Experience with large language models, machine learning, or AI-driven data
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team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In addition to their research work, candidates assist and
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Intelligence and Machine Learning (AI/ML) Application Type: Tenured/Tenure-track faculty Application Location: Flagstaff, Arizona 86011, United States of America [map ] Appl Deadline: none (posted 2025/11/03 05
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database systems for Alzheimer's disease. Develop and implement artificial intelligence (AI) and machine learning (ML) pipeline and software tools for patient subtyping, target prioritization, and drug
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multiscale modeling via machine learning force fields. This research will focus on applying a range of computational tools to realistic material systems, including interfaces and defects. This research will
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Summary Within the BGSU Firelands Writing Lab, support and enhance the learning experience for BGSU students with their academic efforts in courses with writing assignments related to a specific
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the INW-1 machine learning team on data handling, online analysis, design of experiments (DoE), and data categorization to enable efficient and automated evaluation of operando experiments Collaboration