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biases. This interdisciplinary PhD (Psychology w. Computer Science) will investigate how generative AI–based super-resolution (SR) technologies influence human and machine-based facial identification
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Location Lexington, KY Grade Level 12 Salary Range $62,400-111,634/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https
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, computer science, environmental data science, climate change policy and modeling, evolutionary genetics, and forensic genetics. The University of Oregon is a public university committed to exceptional teaching
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risk detection Clinical informatics solutions to identify high-risk patients in need of intervention EHR-enabled learning health systems to improve outcomes and quality Trustworthy and safe AI/ML in
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there is a pre-school on campus. Additional information about the Department is available at https://www.binghamton.edu/psychology/ . Requirements: Required Qualifications: PhD in Psychology
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 11 hours ago
Posting Details Posting Details Position Title Assistant or Associate Professor of Piano External Link to Posting https://jobs.uncw.edu/postings/38657 College College of Humanities, Social Sciences
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, their spouse, and children at the end of their contract. School tuition fees for children to attend the K-12 program in Vietnam, up to $20,000 per child or $40,000 for two children per year. Premium private
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hub for research in forensic psychology, eyewitness memory, and global justice. We are inviting talented researchers holding a PhD and with no more than eight years of research experience to prepare a
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analytics, digital forensics, vulnerability assessment, malware analysis and defence, Privacy-enhancing technologies, AI security. Computer Science and Software Engineering: SDLC, requirement analysis, design
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, spouse employment assistance To apply? Please send your CV along with Cover Letter to info@phd-jobs.net mentioning reference code ML-103 Contact person: Vitaly Pryadka Tel.: +40 765 734 800 Web: http