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Description Primary Duties & Responsibilities: Implements: develop agentic and large language models (LLMs) AI and computational models for analyzing omics datasets Coordinates research projects with other
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for this position. More About This Job Preferred Qualifications: The ideal candidate will have strong expertise in cancer biology and in vivo/in vitro model systems, with the added ability to perform basic
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Scheduled Hours 40 Position Summary The Szeto Lab will primarily use in vivo mouse models, in vitro primary cell culture and flow cytometry to uncover new pathways regulating type-2 immune cell
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Scheduled Hours 40 Position Summary The Szeto Lab will primarily use in vivo mouse models, in vitro primary cell culture and flow cytometry to uncover new pathways regulating type-2 immune cell
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will have experience with cell culture and flow cytometry. It would also be beneficial to have experience in immunology, xenograft mouse models, single-cell sequencing, and/or CRISPR Cas9 gene editing
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) how DNA damage response alterations can be exploited to treat and prevent cancer. This technician role will receive on the job training to work with in vitro and in vivo cancer models. Applicants
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analysis using CRISPR/Cas9. Performs murine models of hemostasis and thrombosis, including, but not limited to, tail bleeding assays, pulmonary thrombosis, transient middle cerebral artery occlusion, and
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Scheduled Hours 40 Position Summary Position focuses on developing and applying large language models (LLMs) and deep learning systems to accelerate scientific discovery in the biomedical field
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the team’s work across its different content areas. We are seeking a candidate with strong quantitative and statistical modeling skills, particularly in Bayesian methods, who is ready to advance their career
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. Prepares/presents analyses of on going and proposed projects/studies, including costing and financial projection models. Assists in development of short/long term strategic financial operational plans