7 computational-geometry Fellowship positions at University of North Carolina at Charlotte
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 14 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - Computer Science Division Academic Affairs Department Coll of Computing&Informatics (Col) Work
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
Position Information General Information Position Number STMP18 Working Title Postdoctoral Fellow - Bioinformatics (Temp) Division Academic Affairs Department Coll of Computing&Informatics (Col
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
Position Information General Information Position Number STMP18 Working Title Postdoctoral Fellow - Bioinformatics (Temp) Division Academic Affairs Department Coll of Computing&Informatics (Col
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - Bioinformatics Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
Experience, Skills, Training/Education: Preferred Qualifications • Prior primary data collection experience, particularly in the area of physical activity • Strong computational and analytical skills
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
expertise: Strong computational skills are required. Background microbial ecology, metagenomics, molecular genetics, evolution are not required but are highly desirable. Duties and Responsibilities A
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
Experience, Skills, Training/Education: Preferred Qualifications • Prior primary data collection experience, particularly in the area of physical activity • Strong computational and analytical skills