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research optimizing advanced water treatment processes (e.g., reverse osmosis) to reduce costs and emissions while providing safe resilient supply. They should have documented experience with a variety of
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-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation decisions, including how to zone schools
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Centers: Surg: General Surgery Postdoc Appointment Term: One year plus option for extension. Appointment Start Date: April 1, 2025 How to Submit Application Materials: dirbas@stanford.edu (link sends e-mail
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automated, precise, robust, intensified, modular, and electrified (A-PRIME) water desalination technologies to support a circular water economy; 2) optimizing the coordinated operation of decarbonized water
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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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-77,000K The Stanford Mineral-X (link is external) seeks a highly motivated and skilled postdoctoral scholar to join our research project on optimization of critical minerals separation. The successful
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-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes research
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collaborate on other projects in the lab. Prof. Fletcher and the postdoctoral fellow will align on a specific project related to the fellow’s interest and experience during the interview process. Mentorship
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a dynamic environment and conducting integrative analyses of multidimensional datasets. Key Responsibilities: Develop and optimize image and signal processing techniques to improve data quality and
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or peptides into drugs to treat acute leukemia. Assays to assess toxicity, metabolism, optimization, and mechanism of action of compounds will be performed. This position is for postdoctoral fellows who have