Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Medical Sciences
- Biology
- Earth Sciences
- Science
- Materials Science
- Business
- Chemistry
- Education
- Environment
- Arts and Literature
- Mathematics
- Social Sciences
- Physics
- Law
- Electrical Engineering
- Linguistics
- Philosophy
- Psychology
- Sports and Recreation
- 12 more »
- « less
-
University of New York (GC-CUNY) appointment and responsibilities in the PhD BRES (Black Race and Ethnic Studies) Programs. QUALIFICATIONS Ph.D. degree in Sociology or equivalent social science. The successful
-
imaging analysis, AI/ML development, omics technology development, biomedical data integration and mining, translational bioinformatics, computational medicine, statistics/biostatistics, mathematics, data
-
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
-
omics datasets, mine public databases and contribute to hypothesis development and data interpretation in collaboration with experimental scientists. Key responsibilities Integrating multi-omics data
-
U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 20 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
-
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
-
are available at http://ist.gmu.edu/students/current-students/course-syllabi/) : Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems Artificial
-
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
-
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
-
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