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24:3420). This is a very active research area that involves modeling, mathematical analysis, and computer implementation. The appointed postdoc will have the opportunity to carry out research in
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. - Using statistics and machine learning to estimate model parameters based on travel surveys and other available statistics. - Studying how the location of workplaces, housing, and community services
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Galileo missions and the Hubble Space Telescope. This project uses computer simulations to study plume-plasma interactions and compares results with spacecraft data. The project leader is Associate
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multiplex analysis. We will assist the computer scientists to apply artificial intelligence Machine Deep Learning models using the omics data of mitophagy to predict risk of cancer and metastasis and design
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guidelines for student compensation). The work is estimated to total approximately 50 hours during the period July-September. You could manage most of these tasks digitally, but you need to be on-site in Umeå
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experience in carrying out physical hydrodynamic modeling in lakes, and managing computer cluster–based model runs. Application Send your application, written in Swedish or English, through the University’s
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estimates remain highly uncertain because existing approaches often neglect critical lake-specific dynamics and feedback mechanisms that are essential for accurately predicting ecological responses and