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. Experience in molecular modelling, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level
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applying machine learning to brain imaging analysis. * Assigned department Existing departments [Work location] * Address 113-8657 Tokyo 1-1-1, Yayoi, Bunkyo-ku, Tokyo, 113-8657 [Number of hired] Number
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req24524 Department Vet Med Administration Department Website Link https://vetmed.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights The College of Veterinary Medicine, with
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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background in AI—such as knowledge of machine learning or neural networks—will be an advantage. The appointee is expected to conduct focused research, publish scholarly outputs in reputable, peer-reviewed
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resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels
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development and factors influencing overall health and well-being (https://www.youthshape.us/ ). Your efforts will contribute to the development of products designed specifically for children, such as clothing
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May lead
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, timely, and thorough. Works well both independently, with little supervision, and in a team setting. Knowledge of genetics and genetic concepts or desire to learn. Strong computer skills and experience