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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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at the agent’s level. The project will bring together ideas from Statistics, Probability, Machine Learning, Statistics and Game Theory and is an ambitious 10M Euro project funded by ERC (UK component from the UKRI
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narrative theory to AI-generated stories. The successful applicant will primarily work on Stage 2, where we develop hypotheses and experiments and test them by finetuning and prompting models and analysing
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, for instance, those based on processes of storytelling, creative writing, cognitive science, narrative theory, and/or theories of creativity. The successful candidate will conduct collaborative as
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writing, cognitive science, narrative theory, and/or theories of creativity. The successful candidate will conduct collaborative as well as their individual research within the Center for Digital
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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, or experiences and understandings amongst different groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis
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groups of citizens. A variety of analytical perspectives and qualitative methods are relevant, including public connection research, folk theory analysis, critical algorithm studies, ethnography and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
, Health Promotion, Public Health or closely related areas with an interest working with urban communities by start date • Excellent communication and writing skills • Analytic programming/coding skills
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, Health Promotion, Public Health or closely related areas with an interest working with urban communities by start date • Excellent communication and writing skills • Analytic programming/coding skills
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theories to better understand and predict the role of fluid mixing as a driver for mineralization in porous media, a key knowledge gap for a wide range of environmental, engineering, and geological processes