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Field
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neutron scattering, diffraction, and imaging, in close collaboration with beamline teams at SLS and SINQ. The postdoctoral fellow will work closely with the Coherent X-ray Scattering Group (CXS
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About the role We are seeking an outstanding candidate to work in the Process Dynamics group to contribute to advanced research in AI-driven X-ray imaging for metal alloy solidification
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
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Primary Purpose: We are seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on developing a novel ultrasound molecular imaging contrast agent
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Chair of Biological Imaging 27.02.2026, Academic staff We are now seeking a highly qualified and motivated postdoctoral fellow (f/m/d) to drive the development of novel optical technologies
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and imaging capabilities, and on applying THz (emission) microscopy to study 2D materials and 2D heterostructures. The microscope will use femtosecond lasers to generate and detect terahertz pulses
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for dynamics imaging. The primary goal of this project is to develop single-frame ptychography methods that eliminate the need for scanning, enabling fast imaging and the visualization of dynamic processes in
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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Is the Job related to staff position within a Research Infrastructure? No Offer Description You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine