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with big datasets: towards methods yielding valid statistical conclusions” led by Professor Xavier de Luna and Tetiana Gorbach (Statistics). The overall purpose of the project is to develop novel methods
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materials at the atomic level using advanced synchrotron methods, with a particular focus on understanding and reducing instability and performance decline. Thin film solar cells are promising in
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. The position is open to computational scientists with an interest in single-cell metagenomic analysis. Applications will be accepted until December 11th, 2025. About the position Bioinformatic methods for single
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/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods to quantify fire severity and analyze
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the position Bioinformatic methods for single-cell metagenomic analysis Single-cell metagenomic sequencing (scMetaG) can provide maximum-resolution insights into complex microbial communities. However
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biochemical and biophysical methods to study the structure, function and dynamics of proteins. A special focus is on new methods within structural biology that utilize X-rays from synchrotrons and XFELs
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materials design with advanced structural, spectroscopic, and electrochemical characterization methods to unravel how ions, charges, and molecular interactions govern doping efficiency and stability. By
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department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods to transform graphs
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English. The PhD must have involved numerical modelling. It is desirable to have documented knowledge from their university education in: Mathematics, especially differential equations. Numerical methods
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subject: Technology/Forest management/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods