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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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methods and frameworks for IT/OT security, including analysis of vulnerabilities and threat images in converging system environments; requirements analysis in collaboration with total defense actors
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exposure to environmental chemicals and the role of genetics in improving the understanding of underlying biological mechanisms. The work is expected to contribute to the development of improved methods
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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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/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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Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
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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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issues in federated and decentralized learning systems. The aim is to develop novel methods for securing communication against passive and active adversaries, leveraging tools from statistical estimation
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of their biological counterparts. This project aims to overcome these limitations through a synergistic circuit–device co-design that jointly optimizes both circuit architectures and component properties, ensuring
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society and industry to develop a bio-based economy where forest biomaterials play a key role. Lindroos’ research group develops advanced methods and technologies to make forest operations more efficient