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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and
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frameworks. This approach is timely, as improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques
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looking for a PhD Student (f/m/d) to work on the Development and Evaluation of PET Image Reconstruction Methods for Simultaneous Clinical Dual-Tracer PET Imaging. Positron emission tomography (PET) is a
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or more of the following depending on skills and experience: Research in high-temperature phased array ultrasonics In-process phased array ultrasonic imaging during fusion welding Signal processing
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surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy Experience with tilt series EM tomography Princeton University is an Equal Opportunity and all qualified applicants
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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National Imaging Facility based at the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term position for up to 5 years, at Academic Level E or Level D
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-time employment. Starting date: 21.11.2025 Job description: PhD ? Multiscale Operando Super-Resolution Imaging of Water Imbibition Reference code: 923 Work location: Rostock Join the Cluster
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radiologist with imaging procedures, starting IV's, and injecting contrast, if applicable. Assist radiologist with interventional CT procedures. Evaluate CT scans for technical quality, collate processed images