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distribution grid that ensures both the security of electricity supply and a path to a net-zero-emissions society. SecurEL aims to develop new knowledge addressing research challenges arising from accelerated
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the aggregation intervals are adjusted to reflect intrinsic demand-supply patterns, price volatility, and grid conditions. Methodologically, this requires the development of adaptive algorithms and statistical
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data, and boreholes. The candidate will revisit the current fault seal integrity algorithms and will contribute to improving the algo-rithms utilizing deep learning among other methods. A part of the
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deterministic PDEs and equations subject to stochastic perturbations, integrating approaches from machine learning algorithms, transport theory, and optimization. Examples of relevant equations include, but
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is
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provisions aiming to distribute risks between parties associated with the consequences of unclear language; - mapping different types of contracts necessitating legal regulation that would put a burden of
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subsequent tree size distributions by tracking natural and anthropogenic disturbance and recovery. It does this by allowing plants with different traits to compete for light, water, and nutrients. MIMICS+ is
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, and distributed systems. The candidate should have relevant scientific publications, showcasing research interest and experience in the core areas of the position. The ideal candidate should possess
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of 25 % career-promoting work (e.g. teaching responsibilities at the department) distributed over the employment period. The 4th year is contingent on the qualifications of the candidate and the
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. teaching responsibilities at the department) distributed over the employment period. The 4th year is contingent on the qualifications of the candidate and the teaching needs of the department and will be