444 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at Emory University
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configurations. Maintains 24 x 7 coverage and support, including on-call support, to assist with restoring service and maintaining agreed upon service levels. Installs, configures, maintains, and troubleshoots
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Equal Opportunity Programs, and Faculty/Staff Assistance Program. Manages the program for national recruitment of new employees, including serving as an the divisional executive recruiter; coordinates
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the opportunity to teach residents and mentor graduating fellows. Qualifications include: • Graduate of an accredited, four-year medical school. • Graduate of an accredited, post graduate residency program In
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appropriate for a tenured appointment at the rank of professor, with a distinguished record of scholarly achievement. Candidates should demonstrate substantial leadership experience in faculty affairs
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external resources to ensure seamless support pathways. Assessment, Data, and Program Oversight: Collects and analyzes participation and outcome data to inform program effectiveness and continuous
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oversee quality and training of other team members. Duties include designing, developing and conducting research experiments. Will have expert knowledge and skills specific to the related program and
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with specialization in pediatric psychology to provide clinical care and support in the Complex Behavior Support Program. Specifically, we are seeking a psychologist who will join our team
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contribute to the excellence of our academic community. KEY RESPONSIBILITIES: Develops and analyzes a variety of research data using statistical methods. Assists researchers in developing appropriate study
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residency or fellowship at an accredited program. Applicants must be ABR board-certified/eligible and be eligible to obtain an unrestricted Georgia medical license. Faculty rank will be commensurate with
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Ph.D. in Computer Science, Data Science, Economics, Engineering, or related field Excellent scientific written and oral skills Experience in developing state-of-the-art optimization and prediction models