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diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership
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the university level. Capacity to contribute to curriculum development and innovative learning initiatives. Senior Assistant Professor A PhD or equivalent doctoral qualification in Statistics or equivalent
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demonstrate: Essential Criteria: PhD in a relevant field (e.g. education, psychology) Proven skills in advanced quantitative data analysis Experience with survey platforms (e.g. Qualtrics, REDCap) Knowledge
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. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations of reactor transients and quantify how surrogate uncertainties propagate
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. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color
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developing solutions for locating and manipulating semi-rigid objects or complex geometry. Investigating machine learning strategies with limited data, including the generation of synthetic data in simulation
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for Las Vegas and Nevada. For more information, visit us on line at: http://www.unlv.edu EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning
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spans the Ross School of Business and the College of Engineering (Computer Science and Engineering, Electrical and Computer Engineering, and Materials Science and Engineering). Required Qualifications
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum