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About Us Are you ready to transform lives through academic excellence, innovative research, strong community partnerships and economic opportunity? Kennesaw State University is one of the 50 largest public institutions in the country. With growing enrollment and global reach, we continue to...
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excellence, foster a strong research environment, and the procurement of external funding Establish the Computer Science PhD reputation by setting high research and academic standards Grow faculty research
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considered. Contact Information For questions about this faculty opening, please contact Saif Haq, PhD, shaq@kennesaw.edu . For technical support or assistance completing a job application, please contact
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Credentials Guidelines. Required Qualifications Minimum Required Qualifications Include: PhD degree, or the foreign equivalent, in software engineering, computer science, or a related discipline is required
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assignments will be based on earned degrees and SACSCOC Faculty Credentials Guidelines. Required Qualifications PhD, or the foreign equivalent, in English, or a related discipline, is required at the time of
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Engineering Technology), graduate programs (MS in Engineering Management, MS in Systems Engineering), and an interdisciplinary PhD with a specialization in Healthcare Systems. Interdisciplinary research
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and SACSCOC Faculty Credentials Guidelines. Required Qualifications A PhD, or the foreign equivalent, in English, or a related discipline, is required at the time of hire. Research interests in
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Profession. Teaching assignments will be based on earned degrees and SACSCOC Faculty Credentials Guidelines. Required Qualifications A PhD or the foreign equivalent, in conflict management, or a related
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(BS in Civil Engineering, BS in Environmental Engineering), a graduate program offered online and in-person (MSCE in Civil Engineering), and an interdisciplinary PhD with specializations in Smart
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research, offering a full spectrum of programs from undergraduate to PhD levels. With faculty leading pioneering research that drives innovation in data science, analytics, and applied statistics, SDSA