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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
, benefitting from the cross-pollination of ideas. Our dedicated research and programming staff support fellows at every stage of project development, from conception through data collection or acquisition
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to join an interdisciplinary team of biologists and engineers using human Lung Organ Chips to study lung cancer progression, tumor-immune interactions, and respiratory infections in a clinically relevant
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long-term research and innovation activities within the group. Where to apply Website https://bit.ly/3HDLRTw Requirements Research FieldEngineeringEducation LevelPhD or equivalent Specific Requirements
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promoting a smooth operation, preparation of regulatory compliance and interaction with other departments; may supervise clinical research staff. Job Description Primary Duties & Responsibilities: Acts as the
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linkers and porous frameworks and then investigate the supramolecular interactions with various organic pollutants. This would require knowledge in the design and synthesis of porous frameworks
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of human-AI interaction and customer relationship marketing. The successful candidate will assist with data collection, literature reviews, experimental procedures, and analysis under the supervision of Prof
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is accepting applications for a PT TRIO Administrative Assistant. This position interacts with students on a daily basis and provides support for programs and services that are critical to TRIO student
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developing study designs, programming experiments, data collection and analysis, manuscript preparation, research presentations, IRB submissions, and the supervision of students and research assistants
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prompts and behaviors that improve administrative efficiency and support faculty and staff adoption. The AI Interaction designer uses knowledge of Large Language Model architectures, prompt engineering
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strongly focused on quantum technologies. The project is funded by the European Union’s Horizon Europe research and innovation programme, under a Marie Skłodowska-Curie grant agreement (No. 101217386