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biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will have recently obtained a PhD in physics, biophysics, biochemistry, physical chemistry, engineering
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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Contract: Full-time (35 hours per week), fixed term contract for 12 months Role description The Biomedical and Astronomical Signal Processing (BASP ) laboratory at Heriot-Watt University Edinburgh
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image/data-processing workflows. · Ability to deliver an independent research project and communicate results clearly. · A collaborative approach suited to multidisciplinary and consortium-based
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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crystals to large-area X-ray imagers. The research is funded by EPSRC in collaboration with the NSF. About you Applicants must hold a PhD in Chemistry, Materials Science, Physics or Engineering (or be
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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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progression. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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Imaging Centre (BRIC), at the university of Plymouth and Queens hospital, Romford, London. BRIC is equipped with cutting-edge neuroscience technology, including a 3T Prisma scanner and eight human research