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in MR imaging sciences and at least 4 years of post-PhD experiance. Development experience in both MR imaging and MR spectroscopy is highly desirable. MRI research experience in an academic setting
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, Mechanical Engineering, and Surgery & Cancer. What you would be doing: The post will support the multispectral imaging theme of the Hub award, and you will be expected to play a key role in developing and
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focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
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, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with
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. However, there are significant challenges to a broad proof of concept that would be addressed in this PhD project. Laser beam sources, process development and control to enable better control of mass
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative
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institutions of Cambridge and UCL. You will hold a PhD in Optical Imaging/Physics, Biophotonics, Medical Imaging, Image Guided Intervention or a closely related discipline, or equivalent research, industrial
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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a
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, Education, qualifications and experience PhD in a relevant field such as plant sciences, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing