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Affairs. The FY25 minimum is $73,800. The Bertaccini Lab within the Stanford Department of Anesthesiology seeks an individual at the postdoctoral level with interest and expertise in molecular modeling
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include, but are not limited to, using the latest computational learning-driven approaches, including computational social science, foundation models and multimodal machine learning, to enhance
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focused on brain resilience using human iPSC models and multi-omics approaches. This collaborative project will be conducted within the Departments of Pathology and Neurology & Neurological Sciences. About
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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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decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow collaborative research and mentorship
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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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generated a wealth of data from these and other patients that revealed mechanisms of resistance to CAR T cell immunotherapies (Good et al. Nat Med 2022; In Preparation). We now seek to model suppression
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, and traumatic brain injury patients. Building on a long history of transplanting hiPSC-derived cells to promote neural repair in pre-clinical models, this newly funded research program aims to develop