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Job Description: Salary Range: $105,000 – $115,000 Benefits Information: https://www.luc.edu/hr/benefits/ The Department of Computer Science in the College of Arts and Sciences at Loyola University
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). The position is open for appointment from Feb 1, 2026 or soon thereafter. The postdoc position is for until Dec 31, 2026. The research is in the broad area of graph data management, mining, systems, and machine
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teaching-track faculty and 54 tenured and tenure-track faculty with wide-ranging research interests, and strong research groups in cybersecurity, systems and networks, machine learning and data mining
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are a plus has a strong profile in text and data-mining and has a notion of omics data integration is willing to work in a highly multi-disciplinary environment had academic good performances
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 6 hours ago
secure power. For more information about ARPA-E visit https://arpa-e.energy.gov/. Stipends The DOE Scholars Program provides stipends starting at $1,000 per week for graduate students and recent graduates
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language processing (NLP) to analyse historical texts, literature, and cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational
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omics datasets, mine public databases and contribute to hypothesis development and data interpretation in collaboration with experimental scientists. Key responsibilities Integrating multi-omics data
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/Counselor Education and Supervision https://www.unr.edu/degrees/education/ces-phd . All programs are CACREP accredited. College Information If you're passionate about student success, groundbreaking research
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and concepts in Data & Knowledge Engineering Research experience in Semantic Technologies, Data Mining und Data Warehousing desirable Strong command of German and English (German: level C1, Englisch
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computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention