140 postdoc-computer-science "Data driven Materials Modeling" Fellowship positions at Zintellect
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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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Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and ARS. Participants do not become employees of USDA, ARS, DOE or the program administrator, and
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: This opportunity is available to U.S. citizens only. 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
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available to U.S. citizens only. 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
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. Level of Participation: The appointment is full time. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its
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. Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27
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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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, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection
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of interest to each applicant and amenable to or requiring HPC resources. Training will be provided in data science, scientific computing, AI/ML, and related topics as needed for the fellow to complete
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: LPR or U.S. Citizen Degree: Bachelor's Degree or Master's Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (4 ) Mathematics and Statistics (4