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frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured
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focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes
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processes that arise in light–matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured optical fields. The successful candidate will work
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frameworks for distinguishing closely related quantum processes that arise in light-matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured
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focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum processes
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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Forrest Research Foundation website: https://forrestresearch.org.au/scholarships/ Enrolment Requirements Recipients must meet the university’s requirements for satisfactory progress throughout their PhD and
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The University of Adelaide and leading orthopaedic device manufacturer Austofix invite applications for two PhD projects, exploring Proximal Femoral Nailing for hip fracture patients About Austofix
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research