10 postdoc-in-thermal-network-of-the-physical-building PhD positions at Linköping University in Sweden
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8 Oct 2025 Job Information Organisation/Company Linköping University Research Field Physics Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 10 Nov 2025 - 12:00
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2 Sep 2025 Job Information Organisation/Company Linköping University Research Field Engineering » Materials engineering Chemistry » Applied chemistry Physics » Applied physics Researcher Profile
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convolutional neural networks by exploring transformers, implicit neural representations (INRs), and hybrid architectures that integrate physical priors such as periodicity, symmetry, and long-range correlations
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fast-paced research environment, a structured and organized approach is highly valued. You will work in a team of researchers from diverse backgrounds, including PhD students and postdocs, and should
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on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will work with large-scale behavioural data sets using a range of approaches, including heritability
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materials. This class of materials has unique properties which make them promising candidates for next-generation electronic devices, energy storage systems, sensors, and catalysts. However, they also pose
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-native networks or financial services, AI/ML that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI
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the bandgap into the far ultraviolet provides possibilities for exploring fundamental aspects in physics of carrier confinement and transport under extreme conditions and to drastically reduce losses in power
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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, this project investigates F-formations—the spatial configurations people adopt during social interactions—and their impact on embodied AI guides in science center learning environments. Building on research