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research to uncover how environmental stress conditions impact stomatal patterning and differentiation by utilizing transcriptomic and epigenomic, and single cell approaches —work that has broad
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Department Cellular & Molecular Medicine Department Website Link https://medicine.arizona.edu/deptmedicine Location Tucson Campus Address Tucson, AZ USA Position Highlights The purpose of this position is to
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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sciences. The successful candidates will join a highly multidisciplinary and collaborative institute with strong expertise in cancer and metastasis, ageing and cell reprogramming, metabolism, cell
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the context of the Methusalem BioMedAI (www.kuleuven.be/methusalem-biomedai), this interdisciplinary project aims to bridge gene regulation, neuronal cell types, electrophysiology, morphology, and connectomics
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infections and vaccination strategies in farm and laboratory animals; design immunological study plans (e.g. T cell phenotyping, intracellular cytokine staining, immune correlates of protection) and translate
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in the position and outline skills and experience that directly relate to this position. Job Summary Performs troubleshooting and resolution of desktop and mobile device issues and for Michigan
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and other immune cells remodels barrier immunity during health and disease. Learn more at: https://shenoy.lab.medicine.umich.edu/ . The candidate, if desired, will be mentored to develop an independent
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promoting international mobility, as well as interdisciplinary and intersectoral exchanges. The proposal must be a joint application between a candidate and a Supervisor from Sorbonne Université or its