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the DC will use pore-scale direct numerical simulations (based on the lattice-Boltzmann method) to enable the precise quantification of mass transport within electrode microstructures, reconstructed via X
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thoroughness, logical reasoning skills, and strong problem-solving abilities. Merits are: practical experience with experimental methods in spectroscopy or diffraction, as well as familiarity with basic
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Medicine and is led by Associate Professor Joakim Esbjörnsson. The group uses various bioinformatics and phylogenetics methods to combine genetic, clinical, and epidemiological data to explain how viruses
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independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout
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and methods for energy systems integration of the AI agent with energy system models methods for transparency, explainability, and uncertainty handling applications in case studies related
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PhD position within the Infection Medicine Research Group The research group is led by Johan Malmström, whose goal is to develop methods within proteomics to promote the implementation of precision
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with microbes in drinking water, bathing water and wastewater and the molecular methods required to analyze these microbes. Microbes in contact with drinking water are often found living as biofilms
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the 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
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ability to work effectively both independently and in a team environment Merits: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and
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that simulate anoxic and oxic conditions to quantify radionuclide remobilization under climate-driven changes. Develop and apply advanced radiochemical and mass spectrometric methods (alpha spectrometry, ICP-MS