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10 Oct 2025 Job Information Organisation/Company Leopold-Franzens University Innsbruck Department Institute for Ion Physics and Applied Physics Research Field Physics » Chemical physics Chemistry
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on their dissertation topics and have access to a diverse range of courses, including source languages , archival research, digital humanities, etc. The program also nurtures practical academic skills such as publishing
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, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear
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and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear materials
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. On the gravity side, we explore the extreme regime of gravitational phenomena of miniature source masses to understand how to isolate gravity from all other interactions on a microscopic scale. Our main motivation
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of research, funding is a very important topic. ISTA relies on diverse funding sources to support all its researchers. The Grant Office is there to support ISTA scientists who would like to apply for external
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funding sources to support all its researchers. The Grant Office is there to support ISTA scientists who would like to apply for external funding. All PhD students are offered 5-year contracts. All students
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in science to apply for our PhD program.•FundingIn all fields of research, funding is a very important topic. ISTA relies on diverse funding sources to support all its researchers. The Grant Office is
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for our PhD program. Funding In all fields of research, funding is a very important topic. ISTA relies on diverse funding sources to support all its researchers. The Grant Office is there to support ISTA
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 1 month ago
or equivalent) in Computer Science, Machine Learning or a related discipline. Strong foundation in machine learning / deep learning (theory + hands-on). Evidence may include a thesis, open-source project