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bayesian PhD Projects, Programs & Scholarships

We have 76 bayesian PhD Projects, Programs & Scholarships

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We have 76 bayesian PhD Projects, Programs & Scholarships

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Bayesian machine learning for cause-and-effect structural network discovery

Are you interested in the theory of causality? Do you want to improve the algorithms we use to discover cause-and-effect and conditional relationships from data, or apply them to a real-world problem of your interest such as healthcare?. Read more
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Sequential Bayesian inference in complex and realistic dynamical systems

This PhD position will be at the interesting overlap between computational statistics, Bayesian analysis, statistical signal processing, and machine learning, motivated by applications that aim to improve human life and environment. Read more

Advancing Non-reversibility in Bayesian Networks for Time Series Prediction

  Research Group: Visual Computing
About the Project. Bayesian Sampling has been very well studied in the literature for investigating various complex time series and regression analysis problems up to date. Read more

Beyond Bayesian Machine Learning: Self-Learning Networks from Imaging Uncertainties

  Research Group: Visual Computing
About the Project. Deep Learning (DL) algorithms have attracted extensive attention specifically in the last decade in almost all signal processing research areas. Read more
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Bayesian spatial modelling for biodiversity

  Research Group: Statistics and Data Analysis
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2022. Read more

AI algorithms for precision computational imaging: from deep learning, optimisation, and Bayesian inference theories, to applications in astronomy and medicine (EPS2022/58)

The Biomedical and Astronomical Signal Processing group (. BASP. ) at Heriot-Watt University Edinburgh (. HWU. ), headed by Professor Yves Wiaux, is recruiting multiple PhD students for research on “AI algorithms for precision computational imaging”. Read more

Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems

This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. Read more

Improving the acquisition and processing of single-photon data (EPS2022/57)

Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.  3D Lidar imaging consists in sending laser pulses to a target and capturing the returned photons after reflection from the target. Read more

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