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prototype. The position combines device development with exploration of use cases and pathways to commercialization, and directly supports NTU’s mission to develop and commercialize emerging quantum computing
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and detector structures, including thin-film deposition, lithography, etching, wafer- or chip-scale process flow optimization, and materials/device characterization. The Research Fellow will also
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-based quantum imaging will be a strong secondary advantage, particularly for translating fabricated diamond devices towards sensing and imaging novel materials. The successful candidate will play a key
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-processing workflows for single-photon LiDAR and time-resolved imaging, including event-based or neural-network-assisted approaches for efficient extraction of information from sparse photon measurements, low
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repeatability Preparation of high-quality journal publications, conference outputs, project reports, and industry-focused documentation Contribution to prototype development, technology translation, and
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environments Utilizing Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and diffusion models to augment sparse datasets and simulate edge-case operational and clinical scenarios