298 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" uni jobs at Oak Ridge National Laboratory
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such as text, tabular, genetic, environmental, wearable, or image data. Strong publication record in medical and/or biomedical informatics related journals and conferences Preferred Qualifications
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: Ph.D. in Mathematics, Statistics, Computer, Computational Sciences or a field relevant to the job duties of this position. Demonstrated record of peer-reviewed research. The ability to obtain and
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Qualifications: Requires a bachelor’s degree in computer science, computer engineering, or related field and a fundamental understanding of cyber security principles, tools, and operational applications. Preferred
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serving as the lead SME in this field. Preferred Qualifications: MS degree in biostatistics, epidemiology, data science, health informatics, applied mathematics, statistics, systems engineering, or related
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ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: BS in computer engineering, computer science
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in biostatistics, epidemiology, data science, health informatics, applied mathematics, statistics, systems engineering, or related fields. Experience with Power BI, Tableau, or similar business
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domain teams. Basic Qualifications Bachelor’s degree and 3+ year’s experience in Geography, GIScience, Computer Science, Data Science, Statistics, Engineering, or a related field with a strong quantitative
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-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large-scale S&T challenges across a broad range of scientific domains
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Requisition Id 16119 Overview: We are seeking a Senior Nonproliferation Data Scientist to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences
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bottlenecks, and develop strategies for improving computational efficiency. Work effectively individually and within a team to engineer large multi-component scientific and data-intensive software to meet the