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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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researcher to develop innovative quantitative weight-of-evidence approaches based on Bayesian networks for environmental burden of disease studies. The project aims to establish a novel framework for
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
King Abdullah University of Science and Technology: Researcher Positions: Computer, Electrical and Mathematical Science and Engineering Division Location KAUST Open Date Nov 30, 2025 Description This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led...
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intelligence expertise from the Faculty of Information Technology with gravitational-wave astrophysics expertise from the School of Physics and Astronomy in the Faculty of Science. We will apply Bayesian
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intelligence expertise from the Faculty of Information Technology with gravitational-wave astrophysics expertise from the School of Physics and Astronomy in the Faculty of Science. We will apply Bayesian
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analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration of prior physics knowledge into the data analysis
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), Schwarz's Bayesian information criterion (BIC), minimum description length (MDL) and minimum message length (MML) (Wallace and Boulton, 1968; Wallace and Freeman, 1987; Wallace and Dowe, 1999a; Wallace
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), Schwarz's Bayesian information criterion (BIC), minimum description length (MDL) and minimum message length (MML) (Wallace and Boulton, 1968; Wallace and Freeman, 1987; Wallace and Dowe, 1999a; Wallace
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), and ELLIS Institute Finland. You will be supervised by Dr Julien Martinelli and Associate Professor Harri Lähdesmäki. The position offers a broad local research network in Bayesian machine learning and
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: Robust uncertainty estimation: Improve calibration and uncertainty reliability under drift (e.g., ensembles, Bayesian approximations, conformal prediction). O3: Joint OOD detection + AL: Combine