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Field
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Doctors team with the management of non-human primate cohorts for arbovirus surveillance in the wild through data collation and analyses, (4) conduct epidemiological modeling and analytics for data
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of epigenetics and chromatin organization using fission yeast Schizosaccharomyces pombe as a model organism. Representative publications include: Nature (2011), PMID: 21725325; Molecular Cell (2016), PMID
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modeling, or ordinary/stochastic differential equations. Experience in computational, statistical, or machine learning method development in any discipline. Experience in GPU computing frameworks (e.g
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
infectious disease dynamics, epidemic modeling, and/or machine learning and artificial intelligence Preferred Qualifications, Competencies, and Experience * Writing programs and performing analysis in R and/or
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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to develop and optimize protocols for various ‘omic techniques (single cell transcriptomics, proteomics, etc.) and other techniques for assaying protein function in non-model organisms at different life stages
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Demonstrated record of publications in relevant computer science venues, such as NLP conferences, machine learning conferences, and/or general interest journals Application Requirements Document requirements
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for assaying protein function in non-model organisms at different life stages. This position will also require the development and maintenance of transgenic animals that will be used to examine the evolution
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integration. Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. Facilitate strategic