21 digital-image-processing-phd-scholarship PhD positions at Aalborg University in Denmark
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The Department of Politics and Society, Aalborg University invites application a PhD stipend in digital mental health in China. The PhD stipend is part of the Sino-Danish Centre’s Social Science
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, the focus of the PhD project is to develop a methodology to digitalize the recycling line of spent LIBs from EVs for a large-scale application, while integrating existing research. Specifically, the project
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The PhD position is supported by the project mInt: Human-centered design principles for effective management of social boundaries in interoperable text messaging platforms, funded by a DFF Inge
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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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bioinformatics and modeling of the complex microbial communities that shape our world. We are seeking a highly motivated PhD student to develop scalable probabilistic machine learning models and algorithms
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suite of fresh research challenges defined by the intersection of digital applications that have real-time requirements and quantum resources that are time-constrained due to the decoherence and
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more than 250 employees and is responsible for more than 1700 students. Working at CNAP CNAP offers several PhD scholarships for exploring neuroplasticity and pain. You will be involved in our frontline
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, we look forward to reading your application to our PhD Stipend. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a PhD stipend is available within the general study
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Aalborg University’s Department of Computer Science in Copenhagen invites applications for a PhD stipend within the Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered
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At the Technical Faculty of IT and Design, Department of Electronic Systems, one or more PhD stipends/Integrated PhD stipends in representation, compression, learning, and inference for classical