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: Applicants must have a PhD in Urban Forestry, or allied field, and must have experience in delivering graduate courses to a high standard. Experience in strategic planning, urban forestry innovations, and/or
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PhD in ecology, remote sensing, environmental sciences, or a related field is required at the time of appointment. Experience: The ideal candidate will have a track record of working independently
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relevant discipline would also be suitable. Masters or PhD degree in Engineering, Physics, Chemistry or other relevant discipline is preferred. A minimum of 5 years of experience or the equivalent
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. The preferred candidate should possess expertise and experience in substantive public health areas, and have an established track record or potential for developing a strong program of research, with experience
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of study for both PhD and Master's include, but are not limited to: Information, Computer Science, Engineering, Statistical Sciences, Information Systems, Software Engineering, and Computational Social
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to offering an equitable and competitive salary, inclusive of a generous benefits package, eligible leave and pension plan. Requirements Qualified candidates must have a Ph.D. in Computer Science, Software
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Electrical & Computer Engineering, East Tennessee State University, and the Ludwig Maximilian University of Munich. Completion of a research-based master’s degree is required prior to commencing the PhD
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PhD degree or enrolled in a doctoral program in Political Science or a discipline related to the course; Provide evidence of effective teaching ability as a result of having successfully taught a
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climate shocks to natural disasters. Important note: Our team does not conduct wet lab research. This is NOT a laboratory-based (bench science) fellowship. PERL operates across three core pillars: Science
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Date Posted: 08/05/2025 Closing Date: 11/06/2025, 11:59PM ET Req ID: 43545 Job Category: Faculty - Tenure Stream (continuing) Faculty/Division: Faculty of Arts & Science Department: Dept of Classics