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the estimated numbers. QUALIFICATIONS PhD, Master’s Degree may be considered (Master’s degree in Nursing preferred); BScN required Experience in mental health nursing education Five (5) years or equivalent hours
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. The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of
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have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply. Applicants must have earned a PhD degree in
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policies to protect personal information must be followed and adherence to these requirements will be regularly reviewed by the employer. QUALIFICATIONS Education PhD in relevant discipline such as, Computer
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to apply. Candidates must have earned a PhD degree in Information Studies, Library Science, Archival Studies, Museum Studies, Media Studies, Communications, Cultural Studies, History, Anthropology, Sociology
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). Applicants must have earned a PhD degree in East Asian Studies, Philosophy, Religious Studies, or a closely related field, and have demonstrated an exceptional record of excellence in research and teaching
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. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in Philosophy, Statistical Sciences, or a closely related field
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at the rank of Professor, with an anticipated start date of July 1, 2026. Applicants must have earned a PhD degree in Classics, Medieval Studies, or a related area, with a clearly demonstrated record of
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stream appointments in the Accounting Area. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2026. Candidates must have earned a PhD degree in
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for this position are as follows: PhD in Forest Ecology, Entomology, or a closely related field, with a focus on geospatial modeling, invasive species dynamics, and applied machine learning for pest risk assessment