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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 14 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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/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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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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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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variety of techniques including epidemiology, statistical genetics, in silico data mining, cell culture including CRISPR-based genome editing, molecular and biochemical approaches, imaging, as
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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
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organ, on our labs own dedicated multiphoton confocal. In parallel, genomics data existing within the lab will be mined to identify candidate genes. Combining live and fixed confocal analysis, as