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                9 Sep 2025 Job Information Organisation/Company Stockholms universitet Research Field Physics Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 3 Oct 2025 - 21:59 
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                9 Sep 2025 Job Information Organisation/Company Stockholms universitet Research Field Physics Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 3 Oct 2025 - 21:59 
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                9 Sep 2025 Job Information Organisation/Company Stockholms universitet Research Field Physics Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 3 Oct 2025 - 21:59 
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                The Department of Physics, Umeå University, is looking for a PhD student in computational physics with a focus on understanding the coordination mechanisms between the nucleus, mitochondria, and 
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                education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Physics is looking for a PhD student in computational physics with a focus on understanding 
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                accordance with a set individual study plan. The focus will be on performing research to optimize and test DBTMI by combining state-of-the-art computer simulations, physical experiments, and clinical studies 
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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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                by combining state-of-the-art computer simulations, physical experiments, and clinical studies in radiology departments at the hospitals in the region. You will work in a multi-disciplinary team and 
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                9 Oct 2025 Job Information Organisation/Company Chalmers tekniska högskola Research Field Physics Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 14 Nov 2025 - 12 
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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