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Field
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governmental partners through foundational and applied research and related outreach. Contribute to or lead the drafting of reports, briefings, and scientific publications to distribute research findings and
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chemistry and cell biology. We are currently offering two exciting research topics: 1. Studying the activation and subcellular distribution of mechanosensitive membrane proteins. 2. Investigating the material
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laboratory practice including the maintenance of adequate research records. Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records
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available at: http://www.unr.edu/cee/ Contact Information All inquiries should be directed to Prof. Hamed Ebrahimian (hebrahimian@unr.edu ) or dor@unr.edu Exempt Yes Full-Time Equivalent 100.0% Required
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
is available at UNC under Prof. Mohit Bansal in the UNC-NLP Lab. The focus of this NLP+ML postdoc position will include, but is not limited to, multimodal+embodied semantics, human-like language
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laboratory practice including the maintenance of adequate research records. Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records
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, prepare, publish and distribute an Annual Security Report, (ASR) and provide notice of the availability of the ASR to all prospective employees. This report consists of two basic parts: disclosure
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models, algorithms for dispersion, gas-phase chemistry and/or aerosol microphysics model Preferred
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knowledge on hydrogen production, storage, distribution, and utilization are preferred. REQUIRED SKILLS 1. Attention to detail and accuracy and time management skills. 2. Basic understanding of common
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate