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learning theory and benchmark design Experience in robust learning under distribution shift; including domain adaptation, domain generalization, covariate shift adaptation and density ratio estimation
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the adaptability, efficiency, robustness, and scalability of next-generation networks. While deep neural networks tailored for specific tasks have shown strong performance, advances in fields such as natural
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Finance Division Join our Financial Assurance and Compliance team and play a key role in ensuring the University’s financial controls are robust, effective, and compliant. You’ll support both
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industry partners to translate research ideas into robust analytical plans, ensure data are appropriately specified and prepared for analysis, and deliver high-quality, reproducible outputs. The role focuses
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or more of the following areas: machine learning, reinforcement learning, robust/stochastic optimization, control systems, transportation systems, power systems, electricity markets, or closely related
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Alzheimer’s and Parkinson’s diseases; worldwide over 55 million people currently live with dementia and there is no cure. The focus of the candidate’s work within the ERC project will be to build a controlled
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and sick time, and 15 paid holidays per year. In addition, we have many opportunities to engage with our community including staff chapel and a robust wellness program. Job Summary: Do you love solving
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algorithms that support hierarchical levels of detail. The theoretical component includes convergence and error bounds for refinement, conditions for topological validity, robustness to noisy measurements, and
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motivated post-doctoral associate with a strong background in control systems and machine learning to join the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins
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control, machine learning, and management of large datasets should be mentioned in the research statement and/or cover letter, if applicable. Job Summary The Cooperative Institute for Great Lakes Research