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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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., Medicare and Medicaid) to examine clinical and environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster
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Requirements Citizenship: LPR or U.S. Citizen Degree: Master's Degree or Doctoral Degree received within the last 60 month(s). Minimum Overall GPA: 3.50 Discipline(s): Computer, Information, and Data Sciences (2
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) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (3 ) Life Health and Medical Sciences (18 ) Mathematics and Statistics (4 ) Social and Behavioral Sciences (3
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are highly desirable. Familiarity with data science and machine learning applications for analytical chemistry, industrial/agricultural facilities, and techno-economic or life-cycle analysis is considered a
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. Basic knowledge of quality management systems and quality improvement tools Working knowledge of computer software programs sufficient for evaluation of electronic data, data interpretation, and report
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): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (2 ) Engineering (4 ) Environmental and Marine Sciences (2 ) Life Health and Medical Sciences (51 ) Mathematics and
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the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (4 ) Life Health and Medical Sciences (10 ) Veteran Status: Veterans Preference, degree received within the last 120 month(s
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: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Chemistry and Materials Sciences (12 ) Computer, Information, and Data Sciences (17 ) Engineering (29 ) Life Health and Medical Sciences
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the last 60 months or anticipated to be received by 10/5/2026 11:59:00 PM. Discipline(s): Chemistry and Materials Sciences (4 ) Communications and Graphics Design (1 ) Computer, Information, and Data