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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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, and chromatin-based methods. Cellular metabolic phenotyping, including high-resolution respirometry, will be used to connect molecular mechanisms to changes in cellular metabolism. The successful
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its knowledge base (i.e. update learning). Also writing scientific papers and communicating our research advances in conferences. Methods: programming a humanoid platform using ROS2 packages, solve SLAM
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numerical simulations to understand molecular mechanisms of epigenetic regulation by the Polycomb and Trithorax group proteins. Project description Chromosomal rearrangements of the human MLL1 gene
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must be inferred from the data. The overall goal is to develop reliable and robust statistical methods that can contribute to scientific understanding and inform decision-making and public policy
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LC-MS/MS method for their analysis in different matrices. The method is further developed by including other fermentation-derived metabolites and is used for analysis of thousands of samples in
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into the occurrence and mobility of the elements in rocks, soil, and water, focusing on methods to prevent or reduce the environmental impact of metal extraction and infrastructure development. Project description
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both method development and empirical research, the latter in collaboration with scientists from other departments. We offer a research environment with access to national and international networks. Our
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(NC). In the project, we aim to establish a reliable analysis package for nitrocellulose. Your role is to develop and validate methods for the key properties of NC – including degree of substitution