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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. Furthermore, the lab also hosts state-of-the-art facilities dedicated
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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and
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also opens new avenues for the design of climate-resilient crops. You will apply AI strategies to learn the regulatory syntax encoded by the Arabidopsis genome using single-cell transcript data as
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-scale screens to study fundamental principles in molecular and complex trait genetics using microbes as model systems. Our core technology MAGESTIC (https://doi.org/10.1038/nbt.4137 ), a CRISPR/Cas9-based
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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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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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subteam, working closely with an experienced lab technician, two dedicated PhD students, and two postdoctoral researchers on a project focused on in vitro screening methods, including the use of organoids
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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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identity and establish proper connectivity with brain targets during development. To this end, Esther and her team use advanced technologies like single-cell and spatial transcriptomics and connectomics
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this specificity and test how these regulate structure and function of higher-order thalamocortical inputs in cortical circuits. The applicant will use various technologies, including super-resolution imaging