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multisource blending methods will then be applied (e.g. kriging, probabilistic merging, machine learning) to combine datasets and preserve extremes. Uncertainty will be quantified explicitly, with outputs
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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favoured. For more information visit MPI . Value Up to $25,000 Closing date 20 September Selection criteria Postgraduate, Masters and PHD. Fisheries Our website uses tracking technologies to learn how our
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. The individual is expected to work collaboratively with multidisciplinary teams from academia, government, and industry, and serve as PI/Co-PI on projects. Required Qualifications • Successful completion of a PhD
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making and machine learning, with real-world testing and feedback. The successful applicant will work on decision making for anomaly detection, behaviour analysis and surveillance decisions, under
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. The successful candidate will also co-advise at least one graduate student. Opportunities to teach an introductory Physics course over a Summer session (1.5 months) are available as well. Regular, reliable, and
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Posting Title Graduate PhD (Year-Round) Intern - Grid Modeling . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 20 . Working at NREL NREL is located at the foothills
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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science. Preferred Qualifications Enrollment: Must be a current graduate student (Master’s or PhD) in a relevant field (e.g. Computer Science, Data Science, Learning Sciences, Educational Technology, or
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of over 30 years in the Department of Electrical and Computer Engineering. Students from her very first PhD graduate in 1985 to current lab members expressed deep appreciation for her profound generosity