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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 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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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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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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preliminary research question. 2) A brief literature review and discussion of the specific problem you want to focus on. 3) A discussion on data, access to data, and your methods. 4) A timeline with milestones
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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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, 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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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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University’s Copenhagen campus. TANTlab offers a vibrant group of international scholars working with fieldwork methods, design interventions, and digital/computational methods to engage users, publics, and
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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