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Field
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing and image annotation to support development of AI models trained on OCT scans from
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to develop and implement pulse sequences and reconstruction algorithms on Siemens and GE platforms. Assisting in protocol optimization to ensure consistency and quality across imaging studies. Providing
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partnerships between humans and machines. Babson College is at the forefront of AI innovation, working on cutting-edge projects across multiple platforms including Salesforce, Microsoft, and others. WHAT YOU
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systems. Provide guidance and recommended techniques for warehousing and accessing critical information. Recommend and implement tools and algorithms to generate reports and visualization dashboards using
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Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML
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The Center for Diabetes Technology (CDT) and the University of Virginia (UVA) School of Medicine invites applicants for multiple Postdoctoral Research Associates for their research team, focusing
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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responsibilities will span all stages of research, including collecting data in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running
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complex process often requiring multiple calls to the patient, referring physician, previous facilities/providers to request records and record review with the clinical team. Independently determine