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of segregation, culture, and politics, as well as social network analysis and computational text analysis. IAS is also home of the Swedish Excellence Center in Computational Social Science (SweCSS
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to change of bulk properties. The proposed research aims to advance this science to knowledge of transformation processes at the molecular resolution. This knowledge will enable defining strategies to direct
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, conducting applied research that combines theoretical and experimental investigations. The divisions host a graduate school with a broad national and international network in both academia and industry. About
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network on microclimate variation and its effects on roadside biodiversity Description: The doctoral student will be part of a research project funded by the Swedish Transport Administration (Trafikverket
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engineering software packages such as Matlab, CST, HFSS etc. are meritorious. Strong written and verbal communication skills in English What you will do Your major responsibility as a PhD student is to pursue
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education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Read more about us here: https://liu.se/en/organisation/liu/isy/ks . For more
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the theory of optimization algorithms and high-dimensional statistics to address some of the most fundamental questions in ML such as the behavior of neural networks. The environment of this project is highly
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boundaries and towards circularity, resource efficiency and net positivity. In this fully funded PhD position, which is part of the Formas-financed project “FRESH: Future REgenerative production
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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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funded by the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). The NEST project, Time-Resolved Imaging and Multi