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patterns, and extreme climate events remains a subject of debate. Using a combination of climate modelling, statistical methods, and machine learning, ArcticPush aims to uncover the conditions under which
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, fluid mechanics, solid mechanics, materials science including phase changes, numerical mathematics and data analytics based on statistics and/or machine learning. Each of the postdoc positions will be
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disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from bachelor's degrees to PhDs and support continuing education, all rooted in these scientific disciplines
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familiar with marine ecosystems, the deep biosphere or marine microbiomes and the necessary bioinformatic and statistical analyses of such data (e.g. taxonomic assignments, gene prediction, phylogenetics
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collaboration, organizational, and communication skills. Experience with statistical techniques, paleoclimate reconstruction methods, and dating methods is an advantage. Meet your new colleagues You will join the
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sequencing and library preparation, molecular biology, organoid culture). However, interest for or previous experience with single cell data analysis and statistical modeling are more than appreciated. Formal
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applications Experience in managing data and model simulation Insight into applied statistics and spatial data Experience with collaborative data project infrastructure Who we are At the Department