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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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archaeology, and material culture from a long-term perspective. The Department of Natural History conducts research in systematics and taxonomy, evolutionary genomics, phylogeography, population genetics, and
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identify key enzymes in the cell wall biosynthesis and identify evolutionary paths. Biochemical analyses will highlight changes in the microalgal cell wall in response to stress. You will further investigate
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understanding of gene presence/absence, structural variations, and evolutionary dynamics. In this project we will aim to develop novel dynamic programming computational methods for pangenome assembly of diploid
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his PhD for his thesis on the reception of evolutionary theory in Belgium. Before accepting a position at Maastricht University in 2011, he was a post-doctoral scholar at the University of Leuven and a
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understanding of deep neural networks by exploring the human-understandable meanings of learnt features, the evolutionary dynamics of these features across network layers, and the architectural designs