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the development of structured models to represent attacks and their properties, including measures of attack quality such as time required, risk of detection, resource requirements, and consequences. These models
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includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity
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lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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acquisition and clinical interpretation. The aim of this postdoctoral project is to develop and evaluate AI‑based methods that reduce operator dependence in ultrasound imaging, with a focus on clinically
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as climate change, Earth system science, air pollution, natural hazards, and monitoring of the Earth's surface. We have extensive experience in developing and applying remote sensing across
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candidate will lead advanced statistical analyses integrating ecological datasets with spatiotemporal modelling frameworks. The work will contribute with evidence-based data to development of ecosystem-based
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65 employees, of whom about 17 are doctoral students. The position will be placed within the research group Decision-Making and Management. We strive to develop high-quality, relevant research for both
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within the research group Decision-Making and Management. We strive to develop high-quality, relevant research for both society and companies in the green sector. In this group, the successful candidate
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics at Umeå University (https://www.umu.se/en/department-of-physics/ ) conducts strong
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to the development of several innovative doping methods. More broadly, the research aims to understand and control how molecular interactions, ions, and charge transfer processes determine the electronic properties