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interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
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and ultimately accelerate these activities to combat climate change. Our approach combines science and engineering, beginning with the study of fundamental microbial metabolic processes that can be
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center for artificial intelligence in life sciences, we benefit from high-throughput computing infrastructure to support advanced data analysis and integration. Profile We are looking for a motivated
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Overview The group of Specialized Metabolism , led by Prof. Alain Goossens at the VIB-UGent Center for Plant Systems Biology, and the metabolic engineering research group, led by Prof. Marjan De Mey
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brain xenotransplantation, mouse transgenesis, in vivo mouse brain imaging, and ex vivo human brain recordings. See more in selected references from the lab: Libé-Philippot et at al. Cell (2023) 186(26
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, and Fagales. Research Focus While the two positions will work closely together and share many responsibilities, they have slightly different initial focus areas: Position 1: Computational Genomics and
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biology, and proteomics approaches. The Advanced Live Cell Imaging group (https:www//vandammelab.be) studies endomembrane trafficking in Arabidopsis, with a strong focus on clathrin-mediated endocytosis. In
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of cellular metabolism or physiology. Experience in genetic engineering of phytoplankton or mass spectrometry-based metabolomics is a plus. The postdoc will get training in high-throughput metabolomics and
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metastasis and novel metabolic pathways. We exploit mouse models, genetic engineering, metabolomics and single cell & spatial multi-omics analysis to gain groundbreaking insights into metabolism as a driving
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. Applicants should demonstrate expertise in programming languages such as Python and/or R, as well as experience working with high-performance computing clusters. The successful candidate will be a team player