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detection and isolation when required. Research Objectives The successful PhD candidate will work on: Data-driven nonlinear control under uncertainty Developing control strategies based on practical feedback
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 11 days ago
or adverse events in rare disease populations due to limited data and low event frequencies. Frequentist methods often lack sufficient power to detect safety signals in these scenarios. Bayesian methods offer
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mechanisms to support detection and isolation when required. Research Objectives The successful PhD candidate will work on: Data-driven nonlinear control under uncertainty Developing control strategies based
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to maintain high label efficiency in non-stationary environments, supported by reproducible benchmarks and principled evaluation protocols. Key Objectives O1: Drift-aware querying: Develop acquisition functions
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Sustainable Healthcare Decisions. About the project The fellowship period is 3 years and devoted to carrying out a project entitled “Reliable Bayesian prediction models with uncertainty quantification
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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physics-based insights with data-driven methods—such as physics-informed neural networks, surrogate models and Bayesian optimisation—to explain formation behaviour, identify early indicators of cell
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. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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models) to test the emergence (initial radiation) and canalization of morphologies observed today throughout primate phylogenetic history, including fossil evidence. Objectives To implement a study of