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: Pioneering the Future of AI-Driven Scientific Discovery! Polymathic AI is looking for full-time Research Scientists to join our team in building next-generation Foundation Models for Science at NYU CDS. Recent
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innovative Non-Destructive Testing (NDT) with advanced structural modeling. As a PhD candidate, you will bridge the gap between experimental NDT and structural safety analysis. Your work will involve: NDT
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, we perform comparative studies using both amphibian and mammalian model systems, including human embryonic stem cells. Overview The postdoc will work on a project studying coral stem cells. They will
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using community models (e.g., HEC-RAS, SWMM) for riverine, pluvial, and compound flooding. Perform applied hydraulics for crossings and channels: culvert/bridge capacity checks, inlet/outlet control
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Compensation Grade Labor Grade D Compensation Grade Profile Hourly Range $31.83 Time Type Full time Duration Type Staff Work Model Hybrid Background Check Requirements All candidates for employment will be
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Compensation Grade Labor Grade C Compensation Grade Profile Hourly Range $28.43 Time Type Full time Duration Type Staff Work Model On-site Background Check Requirements All candidates for employment will be
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publications involving both traditional natural language processing techniques and large language models. Experience researching languages other than English would be a plus. This job will include opportunities
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human cell systems, and in vivo models. We routinely work with ex vivo primary cells and patient-derived specimens and employ humanized mouse models to enable mechanistic studies and forward genetic
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
. Working with mouse models is preferred, but not required. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel Hill Carolina rates among the nation’s great institutions
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and/or pathogens (ideally Toxoplasma or related protozoa), protein biochemistry, animal models of infection, and working with omics datasets. For more information, please visit: https