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researchers and students. Many promising methods based on generative AI have been suggested to generate synthetic data that can be safely shared in support of exploratory analysis, model prototyping, and IT
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At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend/Integrated PhD stipend in theories for programming semantics, methods for verification and reliability
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to the rapid growth of electrical vehicles. The project will contribute to resource recovery, environmental preservation, and renewable energy technology. This potential will be realized by developing methods
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at the intersection of advanced probabilistic machine learning and microbial bioscience. This position offers a unique opportunity for developing novel probabilistic ML methods with a view towards
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focus on factory and line level, where three research topics are defined: 1) Conceptual design principles and methods for resilient manufacturing systems. This topic will build upon existing theory
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individual processes to entire manufacturing systems. The PhD projects will all focus on factory and line level, where three research topics are defined: 1) Conceptual design principles and methods
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, empirical software engineering, and the organizational aspects of technology adoption. Ideally, you have experience with mixed methods research (qualitative and quantitative), and a desire to work in close
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) project, offering a unique opportunity to combine cutting-edge computational methods with sustainability transition research. The position is affiliated to the IKE research group at Aalborg University
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the holistic and quantitative assessment of human systems in a life cycle perspective. The objective of the projects will be to assess – in a life cycle perspective – the consequences of developing new methods
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neuroscience and why you are a good match with CNAP; We ask you to briefly describe your work within neuroscience until now, focusing on methods you have used yourself). English language proficiency level if