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improve the clinical outcome and help prognose inflammatory bowel disease stages for patient risk stratification. The selected candidate will work with endoscopic and whole-slide imaging (WSI) data
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image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary research. About the Role The role includes carrying out fundamental plant science research related to a
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(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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their research agenda and be active in seeking new funding opportunities to strengthen the existing team and develop their career independence. You will have the opportunity to share your vision should you be
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develop their career independence. You will have the opportunity to share your vision should you be shortlisted for interview Key Duties and Responsibilities: Deliver on the Cancer Research Strategy
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for successful candidates to join are listed below. BRC Theme: Cardiovascular / Imaging & Engineering Supervising Principal Investigator: Professor Alex Rothman Research project area: Pulmonary Hypertension (PH