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We have 13 Physics (bayesian) PhD Projects, Programmes & Scholarships

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Physics (bayesian) PhD Projects, Programmes & Scholarships

We have 13 Physics (bayesian) PhD Projects, Programmes & Scholarships

Bayesian Deep Learning for cosmology with Euclid

This project will focus on the combination of cutting-edge Deep Learning and statistical methods to enable cosmological inference from next-generation facilities such as the European Space Agency’s Euclid mission. Read more

Leveraging Statistical and Machine Learning Approaches for Engineering Design under Uncertainties

  Research Group: Intelligent Systems and Robotics
Are you passionate about pushing the boundaries of engineering design and addressing real-world challenges? Embark on this exciting journey to develop novel statistical and machine learning methods to enhance engineering design in the presence of uncertainties, and contribute to shaping the future of computational engineering design. Read more

Machine learning for extreme scale computational imaging in radio astronomy

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for extreme-scale computational imaging in radio astronomy. Read more

Deep learning for black hole tomography

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for black hole imaging. Read more

Computational imaging in low resource settings

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on computational imaging in low-resource settings. Read more

Noise and Evolution in Ageing Cellular Power Stations

PhD Project. Imperial College Mathematics. Student Background. Theoretical Physics, Mathematics/Statistics, Electrical Engineering, Computing (Biological knowledge not required). 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
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