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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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sponsorship. Updated on 11/05/2025. Qualifications Required Qualifications PhD in aerospace engineering or related field Two or more years of research training Excellent analytical and computer programming
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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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Residents enrolled in honours or masters level study in mathematics, statistics, machine learning, or science that will establish eligibility for PhD study. Applications close on 28 November each year. For