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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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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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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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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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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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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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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