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, Information Systems, Public Health or related field or equivalent combination of education/experience Must be Epic certified in: Cogito Fundamentals Caboodle Data Model Clarity Data Model Clinical Data model
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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models. This role is ideal for those who have a demonstrated history in collaborative research, effective communication, the ability to follow standard protocols, and an aptitude for troubleshooting
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negotiable. Key areas of responsibility include: ● Leading the development of qualitative and quantitative systems models that synthesize ecological, social, economic and policy drivers of grassland
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financial models; develop scenarios and forecasts; perform variance, trend, sensitivity, and cost-benefit analyses; and identify material financial drivers. Strong understanding of operating budgets
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of the mechanisms of oxide scale build-up, as well as the analysis of the mechanisms of the formation of the internal oxidation zone in annealed materials at high temperatures Creating predictive models using
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, biochemistry, cell biology, structural biology, and animal models to understand host-pathogen interactions at the molecular level — with the goal of gaining novel molecular insight into eukaryotic signaling
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materials. Experience in relevant laboratory techniques (e.g., cell culture, animal models, molecular biology techniques, etc.). Preferred Qualifications Education: Ph.D. in biological sciences. Work
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environment focused on physics‑informed AI tools for materials design and characterization. In a collaborative project with industrial partners, you will work on developing physics‑informed models for heat
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine