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biofluid samples Conceive, prototype, and benchmark new computational and AI methods for liquid biopsy, including techniques to bridge to other data modalities, e.g. imaging Apply modern machine learning
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with mayors and street-level bureaucrats in Brazil, data organization, coding and analysis, comparison of Brazilian and Belgian findings, and contributions to papers and dissemination activities
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of Engineering at the University of Texas at Arlington invites applications for a rank Post Doctoral Research Associate. This position will focus on analyzing imaging data, developing novel methods for analysis
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electrophysiology, optogenetics and opto-tagging, viral circuit tools, anatomical tract tracing, immunohistochemistry and imaging, and quantitative analysis of behavioral and neural data. The Postdoctoral Associate
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identifying the ideal HWO spectral range(s) and resolving power(s) for understanding terrestrial and sub-Neptune planetary environments using high contrast imaging techniques. Candidates working anywhere in
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complex datasets Develop final publishable-quality tables and figures for inclusion in research manuscripts Write and clearly document research code to clean, maintain, and analyze datasets Manage data
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(minimum 80% FTE) Reporting to Professor Rachel Upthegrove, you will work specifically on analysis of two completing trials with clinical, biomarker and imaging data: Psychosis Immune Mechanism Stratified
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, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities, contributing to manuscript and grant writing, and preparing presentations
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/ Street Spui 21 Postal Code 1012 WX STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
the nervous system. The successful candidate will conduct independent and collaborative research using genetic, molecular, imaging, and quantitative approaches to study glia-neuron interactions and the