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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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of a collaborative team, led by Dr Sarah Morgan at the School of Biomedical Engineering and Imaging Sciences. The School is a world leading centre of expertise in AI for healthcare, providing
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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Candidates must have, or be close to completing a PhD, in bioelectronics, biophysics, tissue engineering, biomedical engineering, mechanobiology, biomaterials, cell biology, or a closely related discipline
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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within the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with sophisticated characterization
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porous-silicon experience is advantageous but is not essential where a candidate brings strong adjacent expertise at the engineering-biology interface. Essential criteria A PhD awarded, or thesis submitted
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basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will have a PhD in physics, biophysics, biochemistry, physical chemistry, engineering, or a
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assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement