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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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, 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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, and internal equity. Pay Range: $77,000 - $80,000 Postdoctoral Fellow in Large Language Models and Electronic Phenotyping in Cancer We are seeking a highly motivated Postdoctoral Research Fellow with
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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
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would include: Co-developing a hybrid machine learning/process-based model of anaerobic digestion processes Performing techno-economic and lifecycle analysis of microgrids build around novel biogas-fueled
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diseases, in particular glaucoma. This position involves the application of optic nerve crush and other models of retinal ganglion cell injury to study signaling pathways in vivo. This position will involve
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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Center for Biomedical Informatics Research at Stanford University. This position emphasizes evaluating various cancer screening strategies by developing and applying microsimulation models for decision
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channels in different cell types in the eye. Relevant techniques include 2 photon calcium imaging, atomic force microscopy, retinal electrophysiology, rodent microsurgery and animal models of glaucoma and