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Field
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professional instrument construction for research endeavors at UO. This position interacts with faculty, staff, postdocs, graduate students, and other research professionals both within and outside
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Posted on Fri, 05/22/2026 - 07:08 Important Info Faculty Sponsor First name: Guolan Faculty Sponsor Last Name: Lu Stanford Departments and Centers: Urology Postdoc Appointment Term: One year with
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including, implementation of spatial light modulation, single cell photostimulation/inhibition used in conjunction with in vivo calcium imaging. Assist with transferring new experimental methodologies
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sense, including housing, macroeconomics, labor, urban, spatial economics, political economy, and conflict). Excellent communication skills in English. Ability to work in teams Applicants must submit a
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-based microarrays, immunohistocheistry, spatial transcriptomics and molecular analysis. The candidate is expected to be able to summarize data for inclusion in grant proposals and manuscripts; prepare
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remote, augmented and virtual spaces. We work on overcoming the challenges of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential
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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our
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agencies. The postdoctoral scholar will work closely with the PI, Ranjit Deshmukh, as well as with emLab and CETlab graduate students, postdocs, and lab collaborators. The Environmental Markets Lab (emLab
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of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential and limitations arising from the use of AI-based methods in predictive feedback