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Field
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capabilities highly desired of the candidate include but not limited to: experience in ML/ AI approaches, application of ML/AL in image processing, reasonable understanding of science/physics and engineering of
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to: Develop AI and machine learning workflows to analyse microscopy and high-content imaging data from advanced in vitro models. Build computer vision pipelines for image segmentation, tracking, phenotypic
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Intelligence in Medical Imaging This project develops a European infrastructure supporting the secure use of artificial intelligence for cancer research. Responsibilities Virtual Human Twins (VHT) You will
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a single-cell imaging laboratory and integrating single-cell data with population-level data. Duties include: The competitive selection process is open for all individuals, who meet the requirements
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or similar Skills in satellite-based image processing and analysis Please click here for the position’s detailed job description, including general responsibilities, requirements and other details related
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analysis pipelines for microscopy, high-content imaging, live-cell imaging or related image-based datasets.* Advanced coding and software engineering experience, for example in Python and relevant ML/data
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extracellular vesicles/exosomes. Advanced cell culture, molecular biology and imaging approaches will be combined to study cellular responses and mechanisms relevant to oral disease and regenerative medicine
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Full-time, 2 years fixed term Research opportunity in the field of breast cancer detection, clinical medical imaging optimisation, perception, and artificial intelligence applications in healthcare
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/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Subramanian Laboratory Department of Surgery
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or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based