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the intersection of artificial intelligence and politics or who use artificial intelligence applications as a methodology for studying key questions in political science. The search is open with respect to subfield
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position in Statistical Artificial Intelligence (AI) and Biomedical Data Science. The incumbent will establish and maintain external funding while collaborating with investigators across KUMC's nationally
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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to the Information School’s strategic areas: climate change, health and wellness, healthy information environments, and responsibility in artificial intelligence. The research area of interest for this position is
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Artificial Intelligence Security (or related areas) under a fixed-term public employment contract for a period of three years. Where to apply Website https://www.ipp.pt/concursos/pessoal Requirements Research
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated
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preparation, as well as writing scientific papers and reports. Mandatory requirements: PhD completed in the fields of agricultural or biological sciences; practical experience in artificial intelligence
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
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, artificial intelligence, analytics, or other evolving areas of public relations practice and research is especially welcome. Preference will be given to candidates whose research and teaching expertise
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accurate source of species identification for difficult plant families. You will use cutting-edge genomic and Artificial Intelligence methods from several plant families to identify novel genomic regions and