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. Building on this platform, we combine cell biology, biochemistry, CRISPR-based approaches, organelle isolation, metabolomics and proteomics, mouse genetics, and disease models to discover principles of ER
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous
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elegans (C. elegans) as a model system with approaches including: Quantitative genetics (GWAS/QTL mapping) High-throughput phenotyping RNA-seq and multi-omics integration Functional genomics (e.g., RNAi
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cancer cell biology and tumor microenvironment, with experience in immunology and murine models. Candidate must be an expert communicator, highly organized, with excellent writing and grantsmanship skills
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physiology, animal models of cancer and cachexia, imaging, histological analyses, and other mechanistic or translational approaches. · Contribute to the development, optimization, and validation
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with computed tomography and digital subtraction angiography. • Familiarity with reinforcement learning methods. • Experience developing and applying statistical models to research datasets. • Experience
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rigorously investigate systemic immunity, the tumor microenvironment (TME), and the mechanistic drivers of resistance to radiation and immunotherapy utilizing advanced pre-clinical models of head/neck and
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has the potential to include (1) contributing to an NSF-funded research aimed at understanding disease dynamics in wildlife trade using amphibians as a model system, (2) leading research to investigate
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observations with mechanistic ecosystem, hydrological, and reactive transport models (e.g., EcoSIM, PFLOTRAN, CATHY) a part of the new DOE funded Genesis project at Biosphere 2. Develop new approaches using