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millions of species. However, computational challenges exist in using these massive genomics datasets for species delimitation. The multispecies coalescent (MSC) model offers a framework for understanding
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investigation. Being part of a larger collaborative project, the postdoctoral researcher will be involved into discussions within a broad range of fields including computational, medicinal and organic chemistry
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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data-driven infection research, such as the development or innovative application of computational tools to analyze and integrate data or mathematical models to understand complex systems. Experience
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the
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for mathematics research and education. The Computational Biology and Biostatistics groups develop mathematical models to address biological phenomena like systems biology, cancer modeling, statistical genetics
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documented international research experience, a demonstrated potential for creativity and a high degree of excellence in the field, for example in computational biology, mathematical modelling and simulations