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modelling and parameter estimation. This PhD project will be carried out in the Mathematical Systems Biology group at the Computational Biology Unit , a cross-departmental unit at UiB that works at
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grids, such as cascading blackouts, natural disasters and deliberate sabotage, causing large-scale power failures with severe consequences. The rapid growth of distributed energy production and storage
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standards in 2024. In blockchain, PQC signatures are progressively integrated to replace the vulnerable cryptographic schemes used today, while there is potential for bandwidth efficiency in distributed
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
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, the impact of blowing snow on local and regional scales. The PhD candidate will produce mass balance simulations that support estimates of snow distribution for biodiversity and ecosystem assessments, as
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mass balance simulations that support estimates of snow distribution for biodiversity and ecosystem assessments, as well as hydrological modelling and management plans for ski resorts and hydropower
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numerically implements the newly derived theoretical frameworks using fundamental computer programming languages. The numerical solver will leverage existing modules (by then) developed from the ‘OceanCoupling
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
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. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective
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of Informatics and is hosted jointly by the Network and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full- and part-time