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optimizing and scaling up the emulsification and oxidizing protocols of polyolefin pyrolysis wax, as well as the proper control of an optimal oxygen transfer rate within the bioreactor. Moreover, statistical
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and
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at the Dynamical Systems Section is very wide ranging. From foundational research in work on statistical forecasting, modeling of spatial and temporal processes and time series analysis to applied research in wind
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line
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Are you interested in human health and big data collaborative projects at the cross road of genomics, population genetics and statistical learning then the Bioinformatics Research Centre at Aarhus
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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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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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study programmes: mathematics(including a specialization in statistics at the master level), mathematical economics, and mathematics-technology. What we offer We offer a unique opportunity to strengthen
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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