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will bridge data, operations, and policy to integrate forest-management realities with the use of biochar technology as a wildfire mitigant and ultimately provide analysis to its economic feasibility
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(Surgical Science Section, Division of General Surgery, Department of Surgery) is seeking a productive, organized, and self-driven postdoctoral fellow with a strong background in immunology, experience with
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benefits: Competitive and commensurate with experience; full Stanford benefits included. Required Qualifications: What We’re Looking For: • PhD or equivalent in Neuroscience, Cognitive Science, Computer Science
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how we decode cancer biology from spatial multi-omics data. This position offers an exceptional opportunity to build next-generation generative models for complex biological systems, working with large
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Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
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. Experience in organizing and participating in workshops and conferences is a plus. PhD: A PhD in Economics, Computer Science, or a related field, with the Doctorate conferred before the start date. Required
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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receptor (CAR) T-cell therapies for pediatric solid tumors. The Ramakrishna laboratory focuses on optimizing CAR T-cell therapies for children with cancer by learning about the biology of these CAR T-cells
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: PhD in a related field within the last 3 years Required Application Materials: Curriculum vitae Cover letter describing relevant experiences, interests, and goals Contact information for 3 references