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of unique new datasets using cutting-edge experimental approaches (e.g., long-read spatial transcriptomics) across diverse organs, from the brain to the gonads, with state-of-the-art computational and deep
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., long-read spatial transcriptomics) across diverse organs, from the brain to the gonads, with state-of-the-art computational and deep-learning approaches. Projects may also include detailed molecular and
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Contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets Apply computational and machine learning approaches to build mechanistic biological models and rationally
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the generation of unique new datasets using cutting-edge experimental approaches (e.g., long-read spatial transcriptomics) across diverse organs, from the brain to the gonads, with state-of-the-art computational
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 22 hours ago
genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem
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Position Information Position Information EEO Statement Working Title Immune Metabolism Modeling Scientist (Temporary) Department Biochemistry-0831 Requisition Number S_260657 Posting Open Date 08
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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, and modeling. Geospatial modeling To model the spatial distribution and quantify the suitability of waterfowl habitat conservation capital and opportunity in Michigan, including consideration and
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
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working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center