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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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immune cells, proliferation assays, human sample processing or high-resolution imaging of proteins on live cells would be advantageous. You must have a proactive and adaptable approach to work and
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Primary Supervisor: Dr. Dennis Fitzpatrick Cardiovascular disease remains a major global health challenge and continues to drive innovation in medical technology. Cardiovascular devices form
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or signal analysis, data engineering, and healthcare data governance. Adept at developing/validating AI algorithms, and adhering to regulatory and privacy standards. Desirable: PhD in Computer Science, AI
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to research at the forefront of optical neuroimaging and clinical translation. Key Requirements Candidates must hold a PhD in Physics, Biomedical Engineering, Medical Physics, Optical Engineering, Photonics
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. Further funding to support the post may be available. About you Applicants should have a PhD (awarded or imminent) in Electronic/Electrical Engineering, Biomedical Engineering or a closely related
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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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to determine both AGN activity and star formation directly from survey imaging data, bypassing traditional catalogue-based analyses. The project is funded by the Science and Technology Facilities Council (STFC
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imaging Drosophila genetics Electrophysiology Behavioural experiments Computer programming / computational modelling of neural circuits Designing and building custom equipment Essential Application
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer