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Field
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the brain, and behavioral development. Basic Qualifications Successful candidates will have recently obtained a PhD. in a relevant field including, but not limited to, neuroscience, biology, and psychology
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; Microbiome Science; Biogeochemistry. Required Job Qualifications Completed PhD or equivalent degree from an accredited institution by start date of employment. Preferred Job Qualifications Essential Duties
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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for the analysis of problems in these fields, including data analysis, geometric signal processing and computational science, along with a deep commitment to working with, and alongside, experimentalists is a must
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biology/ecology; Turfgrass science/Turf ecosystem modeling; Urban agriculture, green roofs, and native plants; and Viticulture. Required Job Qualifications Completed PhD or equivalent degree from
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contemplating application to a PhD program in economics or another quantitative field. Additional Qualifications Special Instructions Please include contact information for three references in your cover letter
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; Internet-of-things; relevant laboratory equipment. Required Qualifications REQUIRED QUALIFICATIONS: 1. Ph.D. in computer engineering, electrical engineering, computer science, or closely related areas from
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; Internet-of-things; relevant laboratory equipment. Required Qualifications REQUIRED QUALIFICATIONS: 1. Ph.D. in computer engineering, electrical engineering, computer science, or closely related areas from
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer science
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research