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Company description: We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development
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Posting Details Position Information Posting Number PG195871TM Position Number 06MBB42 Position Type Temporary Essential Job Duties The purpose is to compile and develop coastal science and
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Department and Digital Arts Program websites at: https://www.hamilton.edu/academics/departments/Home?dept=Art https://www.hamilton.edu/academics/departments/Home?dept=Digital%20Arts Candidates must have an MFA
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with key stakeholders and funders. As a member of the CRF Management team they will contribute operational expertise in the development and implementation of organisational policies, practices, projects
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
working at The University of North Carolina at Chapel Hill More Jobs from This Employer https://main.hercjobs.org/jobs/22171118/it-analyst-programmer-2-haendel Return to Search Results
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provides advanced research training to support development of an independent research career. The fellow conducts research under the guidance of a Principal Investigator (PI), engages in professional
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. Objectives: The NutCheeInov project proposes the research and development of two cheese formulations (Premium Line) and cheese analogues (Vegan Line). In addition to constituting a direct contribution to the
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for one (1) Research Scholarship (“Bolsa de Investigação”) at Instituto de Telecomunicações, in the scope of project SlicIoT. This work is supported by the European Regional Development Fund (FEDER
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website (https://www.hamilton.edu/academics/departments/Computer-Science). Candidates with ABD will be considered, although candidates with a Ph.D. in Computer Science are preferred. The teaching load
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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically