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quarters. Minimum Qualifications: BA required; MA or PhD preferred; relevant professional experience Salary: Annual Salary Range $68,247-$192,040. See Table #15 at https://www.ucop.edu/academic-personnel
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Design, Industrial Design, Interior Design, and New Media Design, as well as two graduate programs in Industrial Design and Visual Communication Design. SOD also includes the Vignelli Center for Design
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
of funding. For more information about this program: http://vapae.arts.ucla.edu Program: https://www.vapae.arts.ucla.edu/ Qualifications Basic qualifications MA Required Preferred qualifications PhD preferred
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that emphasizes visual communication, visual design, interaction design, visual arts, media studies, communications theory, media/arts management, photography, film, and production. With this diversity
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of Management (JSOM) at The University of Texas at Dallas seeks a talented and versatile Graphic Designer to join its Communications & Marketing team. This role is responsible for creating visually compelling
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Investigation and Response Network (Vet-LiRN), and the New England Wildlife Disease Cooperative (NWDC), and is a National Poultry Improvement Plan (NPIP) authorized laboratory. The Diagnostic Testing Services
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
Jonatan Ottesen 26th April 2026 Languages English Norsk Bokmål English English Faculty of Humanities, Social Sciences and Education PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic
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%) Collaborate with PI/co‑PIs to plan and design producer/processor implementation activities aligned with project goals. Develop protocols and timelines for engagement and data collection. Study Coordination (20
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; and planning and leading a 5-week study away educational program. Key Responsibilities: Study Development (10%) Collaborate with PI/co‑PIs to plan and design school‑focused implementation activities
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that rely on predefined predictive factors, it is designed to operate where risk markers are poorly understood, as is the case in ovarian cancer. The model integrates predictive accuracy with interpretability