201 high-performance-quantum-computing-"https:"-"https:"-"https:" positions in Sweden
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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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). More about ELLIIT (elliit.se). Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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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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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity
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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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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 group leaders
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operation of high-end cryo-EM instrumentation for data collection and analysis (either single particle cryo-EM or tomography and subtomogram averaging). Ideally, the candidate will have experience volume EM
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exposures and breast cancer risk. The focus of the project is on analyses of high dimensional and longitudinal data. The position is for three years, starting summer/fall of 2026 or upon agreement
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high-performance LC-MS instrumentation for comprehensive protein analysis. The unit specializes in cutting-edge proteogenomics research, combining proteomics data with sample-specific genomic and