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discoveries made in the laboratory with meaningful improvements in patient care. You will be part of a research environment that values curiosity, creativity, scientific rigor, and continuous learning while
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proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
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, genomics, or computational analysis of high-dimensional datasets. Experience with one or more of the following: Flow cytometry Single-cell sequencing Spatial transcriptomics Multiplex imaging Bioinformatics
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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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technologies to study the behavior of tissues at single cell resolution. We offer an inspiring intellectual, collaborative, and multidisciplinary research environment to support your career goals and provide
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, and other relevant cell types. Conduct stereotaxic surgical procedures and targeted injections in mouse models. Support viral vector delivery and molecular, biochemical, histological, and cellular
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sets using cell ranger pipeline and additional analysis tools is desired. Must have writing experience; manuscript, grant and/or abstracts for scientific meetings Must be able to manage multiple and
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-edge technologies, including genetically engineered mouse models, patient-derived models, single-cell and spatial genomics, organoid systems, and preclinical therapeutic studies. Learn more about our
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connectivity supporting long-term memory formation. Perform in vivo patch-clamp recordings with cell-type specific access to characterize the cellular and circuit mechanisms of learning and memory. Develop and
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including: CRISPR-based genetic screening High-throughput microscopy Confocal microscopy Flow cytometry and cell sorting Functional genomic profiling Contribute to in vivo studies using mouse models and