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cellular and animal models. The fellow will have opportunities to translate discoveries from human cohorts into experimentally testable microbial interventions and to investigate their mechanisms of action
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the dynamics of therapy-resistance by combining advanced molecular biology method development to multi-omic single-cell analyses of both ex vivo models and clinical tumor specimens. Our novel, in-house
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studies using advanced experimental and computational approaches, including: Human liver organoid and ex vivo model systems Mouse organoid model systems Syngeneic tumor models Single-cell and spatial
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
scales, constraining uncertainties in Earth System Models (ESMs). Airborne Campaign Planning & Predictive Mapping: Conducting spatial scoping, observational gap analyses, predictive mapping of canopy
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. The project will consider different types of epidemic models, including spatial and individual-based models. Methodologically, the work will focus on multi-objective, hierarchical, and explainable reinforcement
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automated data pipelines and flexible toolsets to support diverse microscopy-based research projects, including the integration of multimodal datasets (e. g., imaging, omics and spatial omics) Serve as the
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Criminology (GIS and Spatial Analysis), Assistant Professor Apply now Job no: 560370 Work type: Instructional Faculty – Tenured/Tenure-Track Location: Pomona Categories: Unit 3 - CFA - California
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) Center of Excellence Research Participation Program offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal
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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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A: $87,266 - $118,416 AUD p.a. plus 17% super Join our interdisciplinary team and shape the future of endometrial biology and diagnostics through advanced spatial genomics. International collaboration