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highly specialised software development group comprises about 20 full-time employees. More information is available at http://www.icgi.no and http://www.domore.no . The position is based in the Digital
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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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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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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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is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science, a Norwegian Centre of Excellence dedicated to the development and application of advanced computer simulations
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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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-development Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/294721/phd-research-fellow-in-fi… Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent
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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