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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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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