250 assistant-professor-computer-science-data-"https:"-"https:"-"https:" positions at Zintellect
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. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established
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): Computer, Information, and Data Sciences (2 ) Engineering (2 ) Mathematics and Statistics (5 ) Other Non-Science & Engineering (1 ) Social and Behavioral Sciences (2 ) ORISE GO The ORISE GO mobile
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fields (data science, bioinformatics, health informatics, computer science, information systems, statistics, public health, biological sciences, microbiology, or a related field). Degree must have been
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, geosciences, biology (non-medical), mathematics, engineering, computer or computational sciences, or specific areas of environmental sciences that are aligned with the mission of the Office of Science are
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crop protection products and other agricultural inputs. Research integrates agricultural engineering, physical sciences, and computational approaches to advance the understanding of atomization, spray
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skills: Preferred educational background in computer sciences or related field. Any educational or experience with agricultural data is a plus. Knowledge in computer programming (Python, HTML, Java
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motivated master’s-level graduate fellow with a background in surveillance, epidemiology, biostatistics, informatics, data science, or a related field. RESP-NET is a population-based surveillance platform
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ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense . Qualifications The qualified candidate will have a bachelor's degree in biomedical
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Degree received within the last 60 months or currently pursuing. Discipline(s): Computer, Information, and Data Sciences (4 ) Life Health and Medical Sciences (3 ) Veteran Status: Veterans Preference
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fields. Preferred skills: Preferred educational background in computer sciences or related field. Any educational or work experience with agricultural data is a plus. Knowledge in computer programming