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, socioeconomic, and geospatial data; Contribute to patient-level and population-level modelling approaches, including temporal, spatial, and multimodal prediction frameworks; Apply and evaluate methods for disease
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utilizing animal models and the downstream isolation and analysis of immune cells using a variety of techniques including, but not limited to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA
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). Experience in transgenic animal models and/or in vivo interventions and disease models. Desirable Criteria: Experience with emerging technologies e.g. ‘omics and advanced informatics, spatial transcriptomics
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
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implementation of spatial techno-economic models, accessibility mapping, and visual impact geodata integration, under the supervision of Dr Ross O’Connell. This work aims to support sustainable marine spatial
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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lung fibrosis. The ideal candidate will independently perform studies utilizing established in vitro, ex vivo and in vivo preclinical models and will have the opportunity to develop and refine novel
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certain type of treatment, with potential impact in clinical practice and cancer research. This position is linked to the project BIOEURECA:Next-gen biomarker discovery: foundation models for tissue spatial
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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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(Midavaine et al., Science, 2025). Building on this foundation, the lab combines mouse genetics, single-cell and spatial transcriptomics, in vivo calcium imaging, sensory behavioral assays, and molecular