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protein phenotyping) to apply for the postdoctoral position. Project description The postdoc will participate in the ongoing 4DINFLAMMABILE project, which aims to characterize bile duct inflammation in
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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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techniques for effective analysis of massive-size geophysical data. The goal is to develop algorithms for classification and predictions that enable early warning systems in various geosciences applications
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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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25 % career-promoting work (e.g. teaching responsibilities at the department) distributed over the employment period. The fourth year is contingent on the qualifications of the candidate and the
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2 Postdocs. Colourbox via Unsplash Colourbox What skills are important in this role?/ Qualifications / Competence / Selection criteria The Faculty of Mathematics and Natural Sciences has a strategic
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Sustainable Energy AS. Duties of the position The technical work tasks concern: Development of smart algorithms and modules for load prediction and minimization of fuel, energy, and emissions for marine vessels
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. Knowledge Graphs based on engine propeller combinator diagrams of the same vessels. Machine learning algorithms for data clustering and regressions of ship performance and navigation data sets as a part of