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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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on modelling the effects of small insertion and deletions. The candidate will also help with data management tasks for the database of variants effect that we are maintaining at DTU. We are looking for a
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the initiative over the coming decade. Applicants with an interest in numerical modelling of large‑scale wind processes – especially experience with PALM‑4U – and their relevance for wind‑engineering applications
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portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from large real-world register data to guide the conduct of further studies according
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factors allow it to flourish over long careers. Using unique large-scale longitudinal data on artists and academic scholars, the project applies methods from applied econometrics and economic demography
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laboratories and equipment available for you, including a large facility for ceramic shaping and processing. We collaborate with other departments, and with colleagues around the Globe. We have many colleagues
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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activity at room-temperature. As part of this large project, we are looking for a postdoc to help us fabricate and characterize high-mobility magnetoresistive devices and turn these into high-performing
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working with research groups in academia Industrial experience designing and supporting large-scale projects Software engineering experience Experience with data communications, Internet of Things, and