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brand storytelling assets that are optimized for digital ecosystem distribution. Own and manage social content publishing platforms inclusive of but not limited to LinkedIn, Meta, YouTube, WeChat, Little
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fragile materials with care. Requirements: Minimum Qualifications: A Master's degree in Library and Information Science from an ALA-accredited program from a college or university accredited by a U.S
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robots for distributed sensing in air and water and autonomous robotic construction for digital infrastructure systems. The lab is based on a jointly funded Professorship by Empa and the Swiss Federal
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Language Processing, Computer Science Education, and Cloud/Cluster/Distributed Computing. Competitive candidates in the areas not listed in the job post may be considered, depending on the department’s needs and
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, attendance records, and survey data for use in program review, strategic plan updates, and eCampus goals. Participate in the development of the annual budget; analyze and review budgetary and financial data
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agenda through the following activities: Design and conduct program evaluations, including: Logic model development, evaluation plan development, and evaluation framework selection for multi-site and multi
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of Bergen, and Memorial University in Canada. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will
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State University of New York University at Albany | Albany, New York | United States | about 5 hours ago
: Design and conduct program evaluations, including: Logic model development, evaluation plan development, and evaluation framework selection for multi-site and multi-year projects. Provide responsible
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to enrollment demand, degree program capacity, curricular offerings, and student success. They must be focused on student success and outcomes and be a strong leader as well as a skilled collaborator within and
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Bayesian approach (Lages, 2024). Techniques used: Computational modelling, Bayesian inference, sampling and simulation techniques, prior distributions and posterior predictive checks, model comparison