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The Department of Computer Science at Aarhus University, Denmark invites applications for one or two, 2-years Postdoctoral Research Fellow positions focused on Cryptography. The position is funded
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The Section for Electrical Energy Technology under the Department of Electrical and Computer Engineering (ECE) at Aarhus University invites applicants for a two-year postdoctoral position, offering
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Data, Knowledge, and Web Engineering at Department of Computer Science, Aalborg. This is a unique opportunity to work in a multi-disciplinary, collaborative environment at the interface of computational
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algorithms. The postdoc takes place at the AlgoLoG section, DTU Compute; a section devoted to the study of theoretical computer science and graph theory. Our current research interests include graph algorithms
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industry. The candidate will support several of these activities jointly with other researchers. Qualification requirements Possession of a Ph.D. in engineering, computer science, or related field
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Description of the offer : In the project we will investigate enhancing the magnetic performance of novel rare-earth free permanent magnets. Our partners at Aarhus University will work on the chemistry of the magnets and your part in the project will be to develop novel numerical methods to...
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in geology, genetics, ecology, evolutionary biology, computer science, statistics, and more. During onboarding, there will be particular emphasis on facilitating integration in the Center and the
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Dublin. Responsibilities and qualifications a PhD degree in computer science with a background in visual computing, VR, AR, XR or a related field OR equivalent industrial experience strong interest in
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, statistics, computer science, or a related discipline. We are looking for an ambitious, self-organized individual with strong project management and communication skills. Applicants should have experience in
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within magnetism. Qualified applicants must have: PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open source