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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
culture, with at least five years of experience Experience in computational modeling with MATLAB, python, or equivalent programming language Knowledge of cell biology and physiology Proficiency in advanced
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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here . About the role The Research Group The Developmental Signalling Laboratory headed by Caroline Hill focuses on cell signalling in early vertebrate development and disease. Our work seeks to
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. Multiple projects are available in the area of liquid biopsy, including work on circulating tumor DNA (ctDNA) and cell-free RNA (cfRNA). Projects can be bench-focused, computational, or a combination of both
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. Perform other related duties as assigned. Unique duties: - Responsible for Cell culture & handling including Mammalian cell line maintenance and culture (passaging, cryopreservation, mycoplasma testing
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, promoting your research, networking, etc.). Strong verbal and written Communication Skills. Position Details: The Department of Cell and Molecular Physiology is an open, collaborative, and stimulating
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well as the mechanisms underlying calcium signaling, ion channels, mechanotransduction, neuroeffector pathways, and cell-to-cell communication. A primary emphasis is placed on understanding diseases and disorders such as
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the