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                Field
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                applications in diverse disciplines. The Fellows program aims to identify and train intellectual leaders to shape the field of physical artificial intelligence and its applications. The program provides 
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                AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months agoFTE) and/or Web Development (0.5 FTE). The position can be offered as one full-time role or two part-time appointments for a fixed term of 17 months, commencing around November 2025. The Fellow(s) will 
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                UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICYanalysis and judgment required to clean data, oversee software programming and web development, and coordinate collaborative relationships. Familiarity with rural contexts and northern counties such as 
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                pilot context. The work plan consists of the following activities: 1) Analysis and specification • Study of the legal domain supported by AI4JURIS and the technologies in use. • Development of priority 
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                UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICYinformation and applications responsive to those needs. A high level of research analysis and judgment required to clean data, oversee software programming and web development, and coordinate collaborative 
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                Application Deadline 28 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff 
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                . Working plan: Objectives and Work Plan: Production of animated educational videos in microbiology Development of laboratory tutorial videos in microbiology/microbiomes Recording, editing, and post 
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                composition and performance. The program concentrates on work that brings cutting edge AI to bear on research in science or music, to advance both the research area and the development of relevant AI methods 
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                plan: The work consists of developing models for the prediction of biological control agents (BCAs), using different approaches: Machine Learning (random forests, support vector machines, lasso), Deep 
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                requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master’s in Informatics Engineering. Work plan: The work consists of the development and implementation