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through the atmosphere. These models will be used, in Bayesian inference frameworks, to estimate surface fluxes from in situ and satellite observations. The derived emissions are used to track progress
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 29 days ago
any line management responsibilities. Areas of interest include, but are not limited to, novel approaches to Bayesian methods, causal inference, dynamic benefit-risk assessment, genetic and molecular
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, Bayesian statistics, epidemiology, causal inference, statistical learning, artificial intelligence (AI), high-dimensional data, and/or electronic medical records are encouraged to apply. Successful
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, United States of America [map ] Subject Areas: Bayesian inference; inverse problems Appl Deadline: 2025/12/31 11:59PM (posted 2025/10/09, listed until 2026/04/09) Position Description: Apply Position Description
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Overview Candidates with expertise and interests in clinical trial, population health science, Bayesian statistics, epidemiology, causal inference, statistical learning, artificial intelligence (AI), high
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Bayesian Index Tracking: optimisation by sampling School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Kostas Triantafyllopoulos, Dr Dimitrios Roxanas Application
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circuit mechanism underlying higher cognitive functions such as multitasking, rule-based reasoning and Bayesian inference). In addition to the above areas, there is extensive expertise available in
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Cornell University, Center for Data Science for Enterprise and Society Position ID: Cornell-CDSES-ARPF26 [#31255, WDR-00055912] Position Title: Position Type: Non tenure-track faculty Position
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experience in AI teaching We understand AI very broadly – and adequate experience would include most topics in modern statistics and topics like Bayesian Machine Learning and Simulation Based Inference (a past
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, transcriptional recording (Record-seq), and related technologies. Develop and apply statistical methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling