202 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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well as in collaborative projects with other research centers. A willingness to teach in both the Data Science and Economic and Mathematics degree programs, as well as in teacher training, is desired
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
School of Dentistry is at the forefront of oral health care, education, research, and leadership. We are building on 75 years of high-quality patient care, an evolving academic learning environment
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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of your military service record through the National Archives website at http://www.archives.gov/veterans/military-service-records/ *Please Note: As part of the first round of screening, the committee will
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Design and use of data spaces and digital twins for materials and autonomous material laboratories Use of deep learning methods to connect theory, simulation, and experiments Integration of high throughput
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team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you! Job Description Applicants must apply through Interfolio at https://apply.interfolio.com
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the National Archives website at http://www.archives.gov/veterans/military-service-records/ *Please Note: As part of the first round of screening, the committee will conduct an anonymous review
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https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity and Inclusion We particularly encourage applications from candidates who are likely to be
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status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment