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systems and potentially extend their experimental capabilities by integrating deep learning throughout the imaging workflow, from data acquisition to final analysis. As a PhD student in this project, you
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sensors and readout electronics, SPECT, PET, and X-ray imaging instrumentations, image and signal processing techniques, pre-clinical and clinical applications. Develop new research areas to include
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and signal processing techniques, to achieve those are the fundamental questions the PhD will answer: 1) How to establish high radar coherence and sensitivity 2) How to optimise multistatic radar target
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: The McGill University Department of Diagnostic Radiology, Division of Diagnostic and Interventional Abdominal Imaging in the Faculty of Medicine and Health Sciences invites applications for a full-time
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for Digital Twins for different agricultural and biorefinery processes Acquisition of third-party funding projects Promotion of bachelor, master and PhD thesis Preparing and publishing research findings in peer
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will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection
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translation of innovative miniature, hair-thin imaging devices we have previously developed [https://doi.org/10.1117/1.JBO.29.2.026002]. These devices are designed to enable early and accurate detection
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NEST partners, who collect and process biological behavior of live cells by imaging. The methods developed in this project will be used to improve the best practices in this application Who we
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as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics