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as well as RNA processing mechanisms in bone regeneration, and to define molecular mechanisms that underpin impaired bone repair in different disease models including obesity/type 2 diabetes. Research
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
. *Train and onboard new research analysts on our process and methods for econometric models that support the American Growth Project. *Serve as the first point of contact for junior research analysts who
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to undertake this project and then present their findings at the closing conference. In many instances, you will also become a/the science role model for the students (many will not have ever met a scientist
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and apply state-of-the-art modelling, characterisation, and machine learning techniques to understand how batteries behave and age. Collaborating with project partners, you’ll turn these insights
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Storage (GCS) applications. You will specifically apply these methods to dynamic reservoir modeling, area of review evaluation, and wellbore integrity assessment of GCS in both new fields and reuse
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Fellow in Hydrology and Water Resources. The successful candidate will conduct advanced research in hydrologic modeling, flood forecasting, extreme weather, snow observation, soil moisture data analytics
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redirecting blood flow, then safely dissolving, eliminating long-term risks of permanent implants and aligning with Net Zero Goals. You will use modelling to identify an optimal PHA-based design with a
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management, and assessment of student learning and engagement. Uses predictive analytics and forecasting models to help make accurate projections which will inform campus decision. Works to enhance effective
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 4 hours ago
national funds through FCT/MCTES Workplan: The researcher will be integrated into an international research project on nature-based solutions (NBS) and sustainability, with a focus on governance, modelling
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and implementing advanced statistical and machine learning models, developing interactive visualizations, and supporting data infrastructure to inform research and applied projects. The Data Scientist