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Field
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expression and RNA Polymerase II dynamics and downstream data analysis. Literature review, making presentations to the supervisor and lab group(s), and participating in grant/manuscript writing. Routine
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following approved animal protocols. Isolate and process tissues and immune cells for downstream molecular and cellular analyses. Conduct immunological and molecular biology techniques including flow
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downstream molecular, imaging and functional analyses, organize and summarize research data, maintain detailed experimental records, and assist with training students and other laboratory personnel in research
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datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You
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contribute to the development of robust, reproducible computational pipelines suitable for downstream integrative and AI-driven discovery. The role includes training PhD students, contributing to grant
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generate downstream revenue through a variety of contractual obligations. The majority of their time will be spent meeting with faculty and developing relationships with potential licensees. Education of
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training and process engineering, supporting translational research and clinical trial pathways. Process engineering includes upstream, downstream, analytical, and regulatory. Known as the National Center
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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies
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New York University Grossman School of Medicine | New York City, New York | United States | 3 months ago
their downstream signaling pathways. These studies involve the identification and characterization of ICTs in T and B cells, investigation of the molecular mechanisms by which these ICTs control cell
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for predictive biology. Demonstrated experience adapting large pretrained deep learning models to downstream scientific applications, including fine-tuning, parameter-efficient methods, model probing, or retrieval