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to the conformational behaviour of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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complex operational environments. Focus will be given to methods that can derive useful engineering information for the continuously updated digital twins using mechanical response data and environmental
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, allows for flexible sampling plans. Prof. Jelle Goeman co-developed the closed testing framework that gives flexibility for defining research questions in a data-dependent way. Thirdly, we add permutation
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, or SLs) to investigate their role in the defense of chicory against thrips and other insects. You will develop and optimize methods to extract, purify, characterize and structurally identify
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in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute