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Skills, Knowledge and Abilities: Comprehensive knowledge of pharmacokinetic/pharmacodynamic modeling theory including model building, parameter estimation methods for individual studies (maximum likelihood
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parameter estimation using Bayesian inference, and/or the exploitation of Machine Learning (ML) based algorithms to reduce false positives caused by human generated interference signals in the observational
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experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Center
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and is part of a cluster hire across the School of Social Sciences. The specialty area should be in human factors/human-computer interaction (HF/HCI), industrial-organizational psychology, applied
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this position will continue with their faculty appointment at The Cooper Union. Essential Functions/Responsibilities Expertise in all areas of machine learning including deep learning, Bayesian statistics
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include Bayesian data analysis, nonparametric statistics, functional data analysis, spatio-temporal statistics, and machine learning/artificial intelligence. Many of our projects involve dynamic processes
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computing, data pipelining, applied statistics, robotics, Bayesian estimation, SLAM Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred