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Field
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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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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
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
new immune-epithelial-mesenchymal co-culture models; perturbation approaches to define region-specific transcriptional regulation of epithelial homeostasis; characterization of sputum and mucus
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, dimension reduction, pathway analysis, survival analysis, and multivariable modeling. Strong analytical, organizational, and problem-solving skills. Ability to work independently while contributing
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disease surveillance for emerging and endemic pathogens. This work utilizes advanced epidemiological modelling combined with AI methods for adaptive rather than static surveillance design. This project is
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are emerging as potential levers to mitigate the effects of warming. We welcome applications that propose to carry out lab, field or modeling research to understand warming effects on methane emissions
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, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows Quantitative modeling and statistical inference. Applicants