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universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive
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leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and
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sheet evolution, methane hydrate fluxes, or applying machine learning to geosciences to reconstruct glacial histories and project future ice sheet behavior. Please read this interview for more details
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and magnetic data to map subsurface structures 3. Basin modelling, with knowledge of sedimentary processes and tectonic evolution The project would contribute to mapping the thickness of sedimentary
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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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and fair synthetic data with good utility. We are particularly interested in applicants motivated to develop machine learning methods that matter for society — including fairness, privacy, ethical
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for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic fracture in HPDC
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science). The candidate is expected to contribute toward developing wholistic adaptive management systems. BioM is an interdisciplinary Convergence Environment under UiO:Life Science , involving
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stellar tidal streams) around disk galaxies. The successful candidate will design, perform and analyse idealized and cosmological hydrodynamical galaxy formation simulations, develop or improve models
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developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more