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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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(for example, R, Python, or Matlab). Experience with graph modeling, Bayesian statistics, or causal inference is a plus. The candidate will join an integrated team of computational scientists, molecular
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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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learning and Bayesian statistics. FLSA Exempt Grade 06 Salary Details $82,166 - $90,382 Minimum Salary 82166.000 Mid Range Salary 104002.000 Maximum Salary 125837.000 Offer Information The final salary offer
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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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analysis Developing methods to improve the accuracy and robustness of parameter estimation and uncertainty quantification using Bayesian techniques Applying the developed methods to calibrate and validate
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received by November 1, 2025. Preferred skills: Demonstrated experience in modeling and applied statistics including machine learning, Bayesian statistics, multivariate statistics, model assisted estimation
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exploration strategies that go beyond traditional techniques such as linear programming or deterministic solvers. You will work on cutting-edge methods including: Bayesian optimization Surrogate modeling
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-based, Bayesian or matrix factorization methods for multi-omics integration. Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally