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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 5 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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, 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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Cornell University, Center for Data Science for Enterprise and Society Position ID: Cornell-CDSES-ARPF26 [#31255] Position Title: Position Type: Non tenure-track faculty Position Location: Ithaca
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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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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
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and learned surrogates with clear statistical validation; Bayesian inverse problems and data assimilation via measure transport and amortized inference; robustness and distribution shift in scientific
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Bayesian ML approaches for path inference; introducing sensors; behaviour classification; resource-constrained active-learning; other IoT applications; microbattery development and field experiments and
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principles and analytic methods relevant in health services research Advanced knowledge of statistical computing and/or Bayesian inference Advanced programming skills in a common statistical software package
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inference, analysis of high-dimensional and -omics data, Bayesian methods, and clinical trials, with active collaborations in cancer, aging, HIV, and the analysis of large-scale health data. The School