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Field
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Postdoctoral Research Fellow with expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in
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?: No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Big Data
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theoretical chemistry tools to investigate ultrafast and quasi-equilibrium phenomenon for large, and complex interfacial systems. A primary goal will be bridging the time scale and length scale gap for non
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, including tissue processing, molecular probe staining, and volumetric data acquisition using light sheet microscopes. The successful candidate will be a direct contributor to a large NIH UM1 research center
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. Knowledge/Skills/Abilities Prior experience in complex data management and big data statistical analysis. Job Duties Job Duty Leads data collection, analysis, and dissemination activities in coordination with
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of independently designing and overseeing the execution of experiments, data interpretation, and identifying appropriate follow-up strategies. Comfort with production, analysis, and interpretation of large datasets
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one or more of the following areas is a BIG PLUS: data science (machine learning and AI), cancer biology, animal physiology, organic chemistry, E3-ubiquitin biology, and gene editing. In all cases
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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, with the goal of improving the health of all Virginians. The candidate will contribute to implementing research initiatives that apply big-data analytics, data science, and community-engaged methods
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position