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degradation capacity to cope with misfolded and aggregated proteins and characterize them in model systems of neurodegenerative diseases. Our goal is to develop nanobodies into mRNA-deliverable effectors
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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow
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, particularly for low-income ratepayers. We seek a postdoctoral scholar with electricity system modeling and rate design experience and strong data analysis and management skills. A willingness to apply expertise
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environmental stimulants. We employ an interdisciplinary approach to probe, model, and predict how signaling network dynamics translate extracellular cues sensed by GPCRs into specific phenotypic outputs
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, mechanical engineering, or related field. Research experience in robot manipulation, robot learning (imitation, reinforcement learning and /or foundation models) and/or robot perception (vision, depth, touch
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include 2 photon calcium imaging, retinal electrophysiology, rodent microsurgery and animal models of glaucoma and other ocular diseases. The postdoctoral fellow will be joining a young lab with exciting
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to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $77,000 - $80,000 Postdoctoral Fellowship in Large Language Models and Electronic Phenotyping in Cancer Research We
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are looking for a postdoctoral researcher to contribute to cutting-edge research at the intersection of language models, data, and reasoning. The postdoc will be part of Stanford Language, Data, and Reasoning
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journals and oral conference presentations. Proficiency in culturing and maintaining mammalian cells, particularly mouse cell lines and organoids- preferred Experience with mouse models of disease
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a