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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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emerging autonomous vehicles. The whole project encompasses a broad spectrum of academic, industrial and societal partners and includes a large group or researchers. The postdoc position will advance state
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robust models – and for clinicians, whose goal is to determine when to trust the models. We therefore seek candidates who have strong technical background in working with large-scale deep learning models
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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analyzing publicly available data on employment, education and higher education residing in large federal data sets (e.g., Census data, NCES data). Conducts research and prepares project-related technical
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Zhejiang Province), and Data Science and Big Data Technology. Additionally, there is a dual bachelor's degree program in "Information and Computing Science + Automation." Teaching Resources: The school
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research focused on advancing Precision Menopausal Hormone Therapy (P-MHT) for women worldwide. Integrate and analyze large-scale human datasets, including electronic health records, claims data, and omics
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, molecular biology, immunology, pharmacology. Attention to detail, ability to record and manage large data files, and ability to coordinate assignments on a day-to-day basis. Contact information for three
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management tools. This role involves designing and executing large-scale epidemiological studies using EHR data, overseeing clinical data annotation/processing from public and Hospital Authority sources, and
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities