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integration, especially in molecular medicine; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time
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of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine learning in general. OCBE
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learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working across the School
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Gaussian processes with learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working
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are prohibitively slow for practical semiconductor metrology and inspection applications. Unlike most samples placed under a microscope, microchips are manufactured objects that follow strict design rules
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interpret analytical methods and findings, and manage day-to-day project activities, deliverables and timelines to ensure successful delivery of the programme’s objectives. We are looking for an experienced
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data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
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cancer, inflammatory diseases, and complex infections. This PhD project aims to develop a new generation of multifunctional polymeric nanocarriers using Polymerisation-Induced Self-Assembly (PISA). Unlike
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data science approaches includes the application of Bayesian inference or probabilistic machine learning to geophysical models. UiO is subject to the Security Act, which governs the organisation's
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perception at the landscape scale under different scenarios and employ behavioural experiments and Big Data analytics to understand how changes in time perception influence pro-environmental and sustainable