160 phd-computational-"FEMTO-ST"-"FEMTO-ST" positions at University of Texas at Arlington
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essential academic or coaching program(s) or initiative(s). Assists with the training and onboarding of new student ready advisors and may provide supervision of a small team of advisors and support staff
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sides of the program. Performs other duties assigned. Minimum Qualifications Bachelor’s degree and one year of experience in environmental quality management, public utilities, chemistry, business
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campus resources to enhance their college experience. Assists with the administration and coordination of one or more essential academic or coaching program(s) or initiative(s). Assists with the training
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public. Assist with the training of any new employee(s) and help prepare tools needed to understand boththe technical and administrative sides of the program. Performs other duties assigned. Minimum
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on assigned audits. Develops audit objectives, scope and work program. Performs fieldwork activities and conducts client interviews. Performs all audit work in accordance with The Institute of Internal Auditors
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public. Assist with the training of any new employee(s) and help prepare tools needed to understand boththe technical and administrative sides of the program. Performs other duties assigned. Minimum
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specialty program tracks. Meets virtually and in-person with potential and existing clinical partner site staff. Completes detailed reports and effectively communicates with the Associate Chair of Clinical
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team of student researchers, implement a program of externally funded research that yields top-tier publications, and contribute to professional service within UTA and the external community. Duties
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campus resources to enhance their college experience. Assists with the administration and coordination of one or more essential academic or coaching program(s) or initiative(s). Assists with the training
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, including One Health remote sensing (land changes, pathogens, zoonotic disease); 3.exposomic global health data analytics (infectious disease, climate change) 4.Computational models for processing multi-OMICs