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models, artificial intelligence, Bayesian models, data visualization, dynamic causal models, dynamic systems models, item response theory, large language models, machine learning, mixture models
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science tools, such as machine learning methods, causal inference, particularly in economic and social science applications. Prior experience working with Large Language Models is a plus. Experience working
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candidates who can build a strong methodological research base in areas of Operations Research, including optimization, stochastics, simulation, machine learning and artificial intelligence. Applicants at all
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of, or practical experience with, program evaluation. Preference will also be considered for candidates with experience and/or training in using predictive analytics and machine learning techniques
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employees, and our community. Visit http://www.unr.edu/liberal-arts for more information about the college. Contact Information Josh Martinmaas: jmartinmaas@unr.edu Exempt Yes Full-Time Equivalent 100.0
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
by fabricating constituent parts and assembling those parts into completed devices. The technician is also responsible for stocking and ordering fabrication inventory and maintaining lab cleanliness
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excellence in clinical prosthodontics, prepare for careers in private practice, teaching and/or research, and become eligible for examination by the American Board of Prosthodontics. The clinical component of
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22 Dec 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country
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. This includes defining the constituent elements of evaluation protocols, defining model comparison dimensions, setting up an evaluation protocol for foundation models, defining evaluation protocols for each use
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mitigation. Advanced simulation frameworks will be developed, combining wave & finite element based methods, multi-scale homogenization, and nonlinear modelling to efficiently investigate and evaluate a wide