77 web-programmer-developer-"PhD-Jobs.NET" positions at University of Bergen in Norway
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interdisciplinary collaboration between the Department of Mathematics and the Department of Physics and Technology. The project includes three main activities: (i) the development of novel simulation techniques, (ii
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tasks: Project Design and Planning: Develop and refine the PhD project scope, including objectives, methodology, and detailed plans for data collection and analysis Data Collection and Quality Control
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the doctrinal framework and evolution of the intersection between intellectual property law and artificial intelligence. About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and
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well as their individual research within the Center for Digital Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new
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Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new computational models of narrative and re-implementing
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fellow at the same institution. For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3
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fellow at the same institution. For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3
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of the project is to develop new conceptualizations of what AI means to people, grounded in everyday life, and to assess democratic implications of emergent media technologies. The postdoc will design and conduct
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intelligence (AI), and analyses changes in trust and understandings, at a time when AI becomes integrated into everyday media experiences. The goal of the project is to develop new conceptualizations of what AI
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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open