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chemical transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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ternary and quaternary compositional spaces to provide experimental benchmarks for computational predictive models. The work will include planning and carrying out experiments, maintaining detailed
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formulations to improve pharmacokinetic, pharmacodynamic, and therapeutic properties of investigational agents. Design and perform experiments evaluating formulation performance in cellular and animal models
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effects, so studying different models of quantum computation enables us to pinpoint different ways to get quantum systems to work their magic. The postdoctoral Researcher is expected to work jointly with
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-source modeling and collaborative research. The successful applicant will play a central role in developing and applying Tools for Energy Model Optimization and Analysis (Temoa), a widely used open-source
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help develop new computational models that integrate molecular reaction networks with AI/ML algorithms in order to predict patient-specific cardiac remodeling and heart disease outcomes across human
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable
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Vacancies Postdoc in Sustainable Circular Business Models and Finance in Hubs for Circularity Key takeaways The Challenge As process industries transition to circular models, companies within Hubs
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work will involve developing an ex-ante economic model to identify cost-effective strategies for implementing pharmacogenomic/multiomic markers in clinical practice. This is an excellent opportunity