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for probabilistic unsupervised learning for structured biological data. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307053/3-years-phd-position-in-probabilistic-machine
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UiO/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We
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/Anders Lien 4th October 2026 Languages English English English 3-years PhD position in probabilistic machine learning and statistics Apply for this job See advertisement About the position We invite
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
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Synergy project Verification of Probabilistic Security Systems (VePaSS). The VePaSS project develops new foundations and automated methods for the formal verification of security protocols with
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Description Scientific Profile The professorship focuseson the methodological foundations and applications of probabilistic machine learning methods in the interdisciplinary context of a comprehensive
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
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for classifying user activity in office buildings using power consumption data, with a focus on probabilistic approaches such as Gaussian Processes that provide principled uncertainty quantification
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validation methods based on data thinning, exploiting the probabilistic stability properties of these models. This will make it possible to compare the predictive performance and robustness of competing models