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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative
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structures. Experimental Characterisation: Validating the manufactured prototypes through a range of advanced materials characterisation techniques (e.g., spectroscopy, optical and scintillation performance
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quantum reference frames. The team is embedded within the Quantum Optics, Quantum Nanophysics, and Quantum Information group at the Faculty of Physics (University of Vienna), and is also affiliated with
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quantum reference frames. The team is embedded within the Quantum Optics, Quantum Nanophysics, and Quantum Information group at the Faculty of Physics (University of Vienna), and is also affiliated with
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Professor, appointment-stream position. The research is management and analysis of eye movement data collected from an ongoing collaboration with the UPMC concussion lab. Duties include evaluation and
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energy efficiency. Surface treatments and engineered coatings will be explored to improve inter-material interfaces, reduce optical losses, and enhance detector robustness, critical factors to advance
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measurements, and state-of-the-art optical sensing techniques. Minimum Qualifications: • Ph.D. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred
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the appointment. The successful candidate will be based at the John A. Moran Eye Center in Salt Lake City, Utah. The largest city in the Intermountain West, Salt Lake City is renowned for its world class ski
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. The overarching goal of this newly funded project is to realize quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks
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Background The rise of quantum computers could break many existing encryption methods, making post-quantum cryptography (PQC) vital for future security. Digital signatures, which act like electronic