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Transparency). The main tasks will be to: Develop AI-assisted tools leveraging large language models (LLMs) to support community-based fact-checking Designi and evaluate methods to improve the robustness
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, cerebral metabolism, and cognitive functioning in models of hypertension and preeclampsia are ongoing with support from a Javits Neuroscience Investigator Award from the National Institute of Neurological
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isotopes in food matrices (maximum 30) Experience in the application of chemometric techniques to develop predictive models (maximum 10) Selection process The specific committee will agree upon an award
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2026. The individual will join a fast-paced team that uses rodent models to study mTOR-pathway related disorders (such as Tuberous Sclerosis Complex - TSC) and autism spectrum disorder (ASD
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learning models for describing and predicting experimental outcomes. Prior experience in laboratory automation for life sciences is highly desirable. Prior experience with cell and tissue culture is
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Postdoctoral Research Associate, you will have the opportunity to work closely with several faculty members: Daewook Kim and Ewan Douglas. Your work will focus on problems in optical design, modeling, and
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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models of cell migration, with a focus on the microtubule cytoskeleton and microfluidic assays. You will also perform analysis and optimisation of models in the lab. At this level it is expected that you
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of shelf-stable, nutritious whole-grain meals using advanced processing technologies (e.g., MATS, retort systems) AI-enabled modeling and optimization of perishable food supply chains, including cold chain
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information here ! PURPOSE The Postdoctoral Research Associate will conduct advanced research on the integrated analysis and modeling of urban water and environmental systems, focusing on urban stormwater