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Field
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In Vitro Predictive Models to Explore Tendinopathy”. The project is funded by the Medical Research Council (MRC) and part of the organ-chip research work underway within the Centre for Predictive in
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language models (LLMs), generative AI, and cancer informatics. Projects may include training and fine-tuning domain-specific LLMs for clinical document summarization, treatment recommendation reasoning
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
focused on quantifying the role of cities in global climate mitigation. This project integrates satellite remote sensing, Integrated Assessment Models (IAMs), and large-scale geospatial data to evaluate and
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injection, ion transfer, and structural dynamics in realistic and model systems for battery materials. The position will span experimental efforts at large scale X-ray facilities, handling and reduction
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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Posting Title Commercial Buildings Postdoctoral Researcher Engineer – Building Science and Energy Modeling . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working
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). The research project will develop a reliable framework to accelerate the development of novel high-power particle-production target material for advanced particle accelerator applications. A reverse modeling
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groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development
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research position is available for a highly motivated individual with strong expertise in modeling and simulation of biochemical reaction systems, with a focus on mRNA production from DNA templates
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical