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Field
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management systems in complex organizations with multiple stakeholders, authors, and editors. Proven experience in marketing, with a focus on strategic marketing leadership and management within the digital
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data into the software database. Aid in the development of processes, applications, and reports to enhance the efficiency of delivering and integrating Performance Science data into the database
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motivated the development of Federated Learning (FL) [1,2], a framework for on-device collaborative training of machine learning models. FL algorithms like FedAvg [3] allow clients to train a common global
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
of the most diverse health databases in history. Nutrition for Precision Health, powered by the All of Us Research Program is a new initiative to develop algorithms that predict individual responses to food and
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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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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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at FIU to uplift and accelerate learner success in a global city by focusing in the areas of environment, health, innovation, and justice. Today, FIU has two campuses and multiple centers. FIU serves a
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, the Software Engineer Associate will work alongside researchers to develop and optimize software solutions that support our lab, ranging from large-scale data processing pipelines to computer vision algorithms for animal
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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WILL DO Design, develop, and operationalize deployment of complex, enterprise-grade AI/ML projects that leverage multiple platforms including Salesforce and Microsoft. Collaborate with cross-functional