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. The interests of LABS are to develop and apply statistical, machine learning, and artificial intelligence (AI/ML) methodologies to "big data" in multi-omics and medical data for aging and diseases, such as
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analytics of high-resolution physiological data and other biomarkers. The group applies machine learning tools to better understand the pathophysiology of acute brain injuries with a focus on disorders of
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degree and or its equivalent. 2-4 years of related experience. Extensive experience using Macs and Windows machines. Knowledge of educational technology, research in the learning sciences, and data
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. Responsible for maintaining the isoflurane machines. Maintain the cleanliness of all prep/procedure rooms and surgical areas; assist with development of standard operating procedures and guidelines; operate and
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, EHR, microbiome, metabolomics, immune profiles). This is a position for someone with computational biology experience and with excellent written and verbal communications, computer programming
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture
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. Responsibilities Washes dishes, pots, and pans. Shampoo rugs. Cleans and washes floors and walls. Uses equipment such as, but not limited to, dish washing machines, rug shampoo machines, and pot washing machines
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organization, computer literacy and communication skills. Able to manage multiple tasks simultaneously. Fluency in Spanish beneficial; Additional languages an added plus. Computer proficiency in Microsoft Office
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and CAM programming. Supporting faculty in the development and implementation of laboratory activities and design-based courses. Training students in the safe use of machine tools, electronics equipment
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: Prior experience running behavioral experiments is desirable, as is previous collaboration or engagement with researchers in economics. Familiarity with methods from machine learning will be a plus. All