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the developmental programs that shape inhibitory circuits in the brain. We use various interdisciplinary techniques such as mouse genetics, high content imaging, single cell RNA sequencing, and spatial
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We
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project that combines cutting-edge approaches including state-of-the-art imaging techniques, pluripotent stem cell models, in vivo mouse models of neurological disorders, drug (brain) delivery and nanobody
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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
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incoming project requests and manage timelines and deliverables. Support experimental planning and study design, bridging spatial imaging and sequencing-based approaches. Help define optimal
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Knowledgeable RGB, thermal and hyperspectral camera’s Interest in image-based plant phenotyping Key personal characteristics You are enthusiastic and curious about scientific research You like learning new
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to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
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, and the experts consult, train, and collaborate with users on experimental design, image acquisition, and image analysis. The focus of the responsibilities of the new Technician is to provide advanced
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regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and
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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