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at the intersection of AI and advanced electron microscopy. The project focuses on developing novel self-supervised and physics-informed deep learning methods to restore and denoise Transmission
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goal is to integrate physical priors — including periodicity, symmetry, and long-range correlations — directly into the learning process to achieve more robust, interpretable, and scientifically
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). The intention ius also to explore hybrid models that combine the local sensitivity of CNNs with the global modeling capabilities of these emerging architectures. A central goal is to integrate physical priors
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or abroad. Specific entry requirements Applicants should hold a Master of Science or equivalent degree in Energy Engineering, Electrical Engineering, Engineering Physics, Energy Systems, or a closely related
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both digital and physical spaces. The project is recruiting a PhD student who should possess the following skills and competencies: A Master’s degree in Sociology, Criminology, Anthropology, or related
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entry requirements Applicants should hold a Master of Science or equivalent degree in Energy Engineering, Electrical Engineering, Engineering Physics, Energy Systems, or a closely related field. The
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and stakeholders with a hybrid ethnography that observes gangs’ presence and practices in both digital and physical spaces. The project is recruiting a PhD student who should possess the following
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on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
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4 Sep 2025 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Physics Researcher Profile First Stage Researcher (R1
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17 Sep 2025 Job Information Organisation/Company Lunds universitet Department Lunds universitet, Naturvetenskapliga fakulteten, Fysiska institutionen Research Field Physics » Other Researcher