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). Discipline(s): Computer, Information, and Data Sciences (1 ) Earth and Geosciences (1 ) Environmental and Marine Sciences (6 ) Life Health and Medical Sciences (2 ) Mathematics and Statistics (1
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excellent qualitative and quantitative research skills and ability to draft creative, well-argued manuscripts in a timely manner. Knowledge in experimental design, computer and study programming, statistical
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discipline, including publications in high-quality peer-reviewed journals and presentations at major conferences. Demonstrated high-level mathematical and computer programming skills. Where PhD has been
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) and common data formats (e.g. RVT and DWG). Preference will be given to those with experience in computer graphics, 3D geometric algorithms or WebGL development. Applicants are invited to contact Prof
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skills in conducting data linkage analysis such as survival analysis and regression analyses. Experience in working with computer-based data acquisition and analysis systems. Ability to develop
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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) Computer, Information, and Data Sciences (3 ) Engineering (1 ) Environmental and Marine Sciences (2 ) Life Health and Medical Sciences (5 ) ORISE GO The ORISE GO mobile app helps you stay engaged
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– $75,000.00 Yearly Point of Contact Justina Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Master's Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data
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Ridge Campus Organization: College of Design and Engineering Department : Electrical and Computer Engineering Employee Referral Eligible: No Job requisition ID : 29301 Apply now
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field relevant to the interface of energy technology, economics, data science and public policy. Examples of relevant disciplines include (but are not limited to): any physical, mathematical, computer or