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high-resolution datasets on snow depth in Western Norway derived from machine learning and radar remote sensing. The successful PhD candidate for this position will work within the scope of the project
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project/work tasks: The SnowAI project aims to use to produce new high-resolution datasets on snow depth in Western Norway derived from machine learning and radar remote sensing. The successful PhD
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. Conceptually, this includes data from a single experiment (regularization), across two experiments (registration), and for analyzing large datasets (statistical analysis and machine learning). This development
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of black-box SAT- and ILP-solvers in combinatorial optimization, to the inherent dependence on empirical evaluation found in common machine learning pipelines. The goal of the project is to advance methods
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Sites: A Case Study Using N-Myristoyltransferases as a Model System. J Med Chem. 2020). The lessons learned from the validation shall also be used to develop improved methods. About the LEAD AI fellowship
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within computer science, systems engineering, cybernetics, applied mathematics or another relevant degree at the same level, and applicants must also have a specialization in bioinformatics, machine
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synthetic steps (and routes), using machine learning in closed-loop (autonomous) optimizations. The tasks will be varied, and you will have the opportunity to contribute to developing new solutions in a
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satellites, and marine reanalysis products using machine learning to quantify CO2 uptake in the North Atlantic and the Nordic Seas. Clarify magnitude and causes of interannual variation in this CO2 uptake