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to academic and scholarly, peer-reviewed journals. Write scientific manuscripts and other documents for publication. Fact-check, proofread, and edit research documents to ensure accuracy. Maintain
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, ). Biochemistry, cell biology, genetically engineered mouse models and patient-derived organoids / xenografts will be employed in the study. Successful applicants will be a highly motivated individual with a recent
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-based perturbations, base/prime editing, and targeted epigenetic modulation). Functional genomics in neuronal systems, including transcriptomic and epigenomic profiling. Model systems such as human iPSC
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atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible computational workflows, collaborate with
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the laboratory's focus on neuroimmune interactions and trauma-related physiology. Develop and implement mouse models relevant to neuroimmunology, stress biology, cardiovascular physiology, and immune-mediated
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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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candidates may come from a wide range of disciplinary backgrounds and have prior experience working at any stage along the translational research spectrum or on any level within the socio-ecological model
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), and have a valid driver’s license. Instructions To apply, candidates will submit the following materials via Interfolio: A cover letter (1-2 pages) describing research fit and relevant modeling
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, advanced manufacturing, refining, and mining — and the pressure that growth places on shared energy, water, land, and community systems. Purpose Build and apply quantitative and economic models to assess