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Bayesian risk quantification for accelerated clinical development plans (C4-MPS-Oakley) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Prof J
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with researchers at Chalmers and the University of Gothenburg. You will explore how Bayesian methods can enable risk-aware, real-time trajectory planning and contribute to the development of autonomous
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University of Gothenburg. You will explore how Bayesian methods can enable risk-aware, real-time trajectory planning and contribute to the development of autonomous vehicles that are both safe and trustworthy
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
sources, including developing a Bayesian Hierarchical Modeling framework; (2) using integrative modeling approaches to characterize heterogeneous protein assemblies structures and dynamics; (3) developing
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University of California, San Francisco | San Francisco, California | United States | about 9 hours ago
include international field site management, data management and human factors research. As desired, the project provides opportunities to be involved in Bayesian analytic methods and health economic
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software engineering, Bayesian modeling and approaches to data analysis. Key Responsibilities: Preprocessing and data scientific approaches to analyzing human behavioral data Computational model development
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and experience in applying statistical methods to real-world data. Familiarity with Bayesian statistics and early phase adaptive trials are highly desirable. Effective oral and written communication
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Location: Ithaca, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific
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Requirements An ideal candidate will also have experience in modelling of insect dispersal and/or climatic suitability analysis and Bayesian statistics. Previous involvement in acquiring research funding will be
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or food safety risk assessment, toxicology and/or Bayesian statistics. Previous involvement in acquiring research funding will be considered as merit. The position requires excellent written and verbal