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, including industrial engagement and project planning. Essential Criteria A degree in Engineering or a related subject. A completed (or near-completion) doctorate (PhD or EngD), or equivalent industry
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Qualifications* Requires PhD degree in Statistics + 2 years of experience supporting pain research: using statistical methods, including latent profile/class analysis, multivariate analysis, longitudinal models
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remotely. The position provides an excellent opportunity for academic advancement (PhD), supported by specialized seminars, workshops, and meetings provided by: Collaborative Research Centre 1463 Offshore
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Ovarian Cancer Specialized Program of Research Excellence (SPORE). The award is led by Ronald Buckanovich, MD, PhD, and Robert Edwards, MD. Job Summary Conducts research assessments and procedures
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Preservation The School of Architecture & Environment's Historic Preservation program—the oldest such program on the West Coast—operates out of the University of Oregon’s Portland campus, where students can
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications
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you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Essential criteria Hold a PhD (or be close to completion of the PhD) in particle
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applications from individuals with a PhD or equivalent in Engineering or Physics or a closely related discipline for a position at a rank of research assistant professor. Applicants should have experience with
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid