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Institute for health technology research and innovation. For more information, please see below: https://www.se.manchester.ac.uk/cem/ https://www.meri.manchester.ac.uk/ https://www.tyndall.manchester.ac.uk
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/10/2024 Department Art and Design Line Number temporary service Budget Title Artist's Model Rank/Grade NS FTE Part-Time FLSA Non-Exempt Negotiating Unit PEF Appointment Type Temporary Jurisdictional
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 6 hours ago
Location Parking & Transportation Services Vacancy Open To All Candidates Position Designation Non-Student Temporary Employment Type Temporary - Part-time Hours per week up to 29 Work Schedule Event
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Requisition Number PRN17459N Job Title UU Student - Other Working Title Web Design/Social Media Student Employee Career Progression Track SJ Track Level FLSA Code Nonexempt Patient Sensitive Job Code? No Type
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Overview: RMIT Vietnam is seeking a Creative Service Lead to drive the quality and consistency of our creative output across Vietnam. This role will lead a multidisciplinary design team, strengthen
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hour course FTE Part-Time Negotiating Unit UUP FLSA Exempt Department Website http://speech.buffalostate.edu/ Brief Job Description The department is accepting applications to fill a part-time position
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The University of Southern California invites applications for a tenured or tenure-track position in the Daniel J. Epstein Department of Industrial and Systems Engineering (https://ise.usc.edu
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Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and
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-disciplinary initiatives, including the Biostatistical Design and Analysis Center (BDAC) of the Clinical and Translational Science Institute and the Biostatistics Core of the Masonic Cancer Center (https
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, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning, optimization, inverse problems