231 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions in Sweden
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with the Department of Mathematics and Computer Science. The project aims to enhance the damping of lightweight and critical components by optimising their geometry, utilising metallic materials with
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large-scale, high-dimensional datasets including multi-modal data integration and hands-on experience with high-performance computing (HPC) environments Ability to work independently and in
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capabilities in Sweden. The program is funded with a total of 3.3 billion SEK (about 350 MUSD) over 12 years from the Knut and Alice Wallenberg (KAW) Foundation. The DDLS program funds 50 high-profile young
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test multi applications. Within this project we will design a ultrabroadband and a high spectral resolution hyperspectral lidar. The development is done by raytracing, Computer Aided Design and 3D
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Description of the workplace The Division of Secure and Networked Systems within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer
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. The postdoctoral fellow is expected to work on site in Lund and contribute to an inclusive, collaborative, and high-performing research culture. How to apply The position is sought via the university’s recruitment
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research platform SciLifeLab Drug Discovery and Development . The Department is also responsible for several student courses and offers high-quality education at both undergraduate and advanced levels
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the Human Evolution research program. The Ancient DNA unit is a team that includes staff from the Centre for Palaeogenetics (CPG), part of Stockholm University and the Swedish Museum of Natural History
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Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age