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the context of several distinct policy areas, including health care, environmental protection, tax and economic policy, family policy, and drug control. Estimated course enrolment: 50 students Estimated TA
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training, leading, and/or mentoring junior staff. IHME researchers analyze and produce key estimates for their assigned research team and will assess all available relevant quantitative data – including
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Adjunct Faculty - Department of Teacher Education, Kinesiology, and Educational Studies - Elementary
the following areas: General elementary methods Elementary Math Methods Elementary Science Methods Elementary Social Studies Methods Elementary Assessment Elementary Literacy Methods Elementary Arts Methods
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: 1 Estimated Course Enrolment: 50 Estimated Teaching Assistant Support: none Class Schedule: Mondays 10am-1pm Thursdays 10am –1pm
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-driven cost analysis that informs early project definition, scope development, and delivery method decisions across the capital portfolio. This role ensures that project budgets are credible, comparable
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Administrative Guide, http://adminguide.stanford.edu. The expected pay range for this position is $32.58 to $38.48 per hour. Stanford University provides pay ranges representing its good faith estimate of what
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Application of regional hydrological methods to cross-sections on the Po River
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | 6 days ago
1 Apr 2026 Job Information Organisation/Company INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA Research Field Engineering » Computer engineering Researcher Profile
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Graduate Assistantships at UTRGV https://www.utrgv.edu/graduate/funding/assistantships/index.htm Discipline Specific Required Qualifications Strong computer skills, including proficiency with MS Office 365
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acceptable. Industry experience is preferred. Knowledge, Skills, and Abilities Technical and Analytical Foundations Solid understanding of statistical methods, regression, hypothesis testing, and basic