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We have 60 bayesian PhD Projects, Programmes & Scholarships

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bayesian PhD Projects, Programmes & Scholarships

We have 60 bayesian PhD Projects, Programmes & Scholarships

Mathematical Machine Learning for Molecular Modeling

Project description. This PhD project aims to develop Machine Learning methods for Molecular Modeling with a particular focus on aspects relevant to dynamics preserving coarse-graining strategies. Read more

Generative navigation for autonomous robots using active inference

Simultaneous Location And Mapping (SLAM) is a strategy that allows autonomous mobile robots to navigate their environment. Sensors on board the robot detect walls and objects and the sensor data is used to construct a representation of the physical surroundings. Read more

Collaborative probabilistic machine learning

We develop probabilistic machine learning methods for helping other agents make better decisions, ultimately human agents in ongoing applications in science and engineering. Read more

Quantifying Trade-Offs Between Simple and Complex Models for Decision-Making

  Research Group: Division of Statistics
Policy-makers in conservation and health frequently rely on relatively simplistic statistical models to inform their decisions. There are good reasons for this. Read more

Causal risk factors and biological mechanisms for colorectal cancer risk

Rationale. Diet and lifestyle are likely to play an important role in colorectal cancer risk; obesity, low levels of physical activity, red and process meat consumption and low intake of dietary fibre have all been shown to predict colorectal cancer risk. Read more

An optimal framework for disease risk prediction and stratification for multi-ethnic populations (ref: SF22/HLS/APP/Chimusa)

The exceptional polygenicity of human traits makes unravelling mechanisms from disease risk prediction models daunting. The development of polygenic risk scores (PRS) methods, their evaluation and clinical utility have been explored almost in European ancestry Genome-Wide Association Studies (GWAS) data sets. Read more

Digital twin railway network

Research at Sheffield has been developing models of the railway network from a range of perspectives including smart-grid energy consumption, passenger satisfaction, and integration of rail with wider city and regional transport networks. Read more

PhD Studentships in Probabilistic Artificial Intelligence

 Applications are invited for two PhD positions in “Probabilistic Artificial Intelligence” at the Department of Statistics, University of Warwick. Read more

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