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development. We offer A state-of-the-art laboratory environment. A versatile and challenging academic position with very diverse contacts in a world-class research environment operating at an international
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
adaptation, speciation, and biological innovations. This project aims to redefine our understanding of gene loss alongside gene gain in plant evolution, focusing on developing novel genomic approaches
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& Disease Research. The research group aims to unravel the developmental trajectories of neurons implicated in emotional responses. Specifically, the team studies how amygdala neurons acquire their fate
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computational and machine learning approaches, you will decipher genomic regulatory programs and infer the evolutionary patterns of gene regulatory networks in cortical neurons, study their developmental origin
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The Faculty of Engineering, Department Elektronica en informatica, research group Electronics and Informatics: Research – Development - Innovation, is looking for a postdoctoral researcher. More
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, industrial and medical applications and new innovative biotech companies. The Laboratory for Genome Editing and System Genetics at CfM combines development of high-throughput genome editing tools with large
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, industrial and medical applications and new innovative biotech companies. The Laboratory for Genome Editing and System Genetics at CfM combines development of high-throughput genome editing tools with large
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(ministries, regulators, government-run start-up incubators) and companies in the financial services sector Prepare research proposals to attract industry partnerships as well as national and European grant
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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member's task is strongly intertwined with the tasks of the other team members. You will design, train and apply generative models that learn how to complete missing wedges in the reciprocal space of crystal