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networks, or network science, and relevant background knowledge n methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples
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to be carried out as part of the research project. The PhD student´s role in the research agenda listed above will depend on the chosen candidate and his / her own PhD project description related
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If you are establishing your career as scientist and want to be at the forefront of sensory research with focus on the use of modern objective and subjective sensory methods, then this position may
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. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function
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qualifications The Researcher will have the opportunity to join a cross-disciplinary, international team working on developing virtual testing and digitalization methods for wind turbine structures and components
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the week. These formal and informal occasions provide opportunities to exchange ideas, celebrate milestones, and strengthen connections. PhD candidates also arrange social activities, open to everyone who
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” sessions to wrap up the week. These formal and informal occasions provide opportunities to exchange ideas, celebrate milestones, and strengthen connections. PhD candidates also arrange social activities
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Small case Studies of Successful Innovation Funding Methods The project will employ a combination of mainly quantitative methods, including machine learning (ML) and generative AI (GenAI) models
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be formally positioned at the Department of Design, but also have access to a co-located working space for all NOTRAP PhD students at the Department of Psychology. The NOTRAP project will be organized
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epidemiological methods and statistics equivalent to that which may be gained in a degree programme like MSE, MSc Epidemiology, MPH, or MSAE. In individual cases, when such a formal degree is lacking, successfully