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by filling with materials, such as putty, caulks, fiberglass and resin. • Apply primers, sealers, stains, and undercoats with brushes, rollers, or spray-painting equipment and striping machines
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inclusive and equitable working and learning environments for all students, staff, trainees, and faculty. We believe that building a diverse team enriches us individually and as a department by exposing us to
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to design, implement, and maintain AI algorithms for different projects. Analyze large datasets and apply machine learning techniques to develop predictive and prescriptive models. Evaluate the performance
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to space weathering and soil alteration and devise ways of testing it. Acquire, assemble, and perform analyses of data and interpret results. Manage research project with other SSERVI institutions and
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either 1) experiences with diversity in training, professional/military work, previous teaching, and service, or 2) potential to foster more equitable healthcare delivery in the Division of Hematology. CV
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or machine learning a plus. Experience working with next-generation sequencing data and an interest in developing novel bioinformatic workflows and statistical methods to be applied in a biological setting
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Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
. Experience with Git, Docker, Common Workflow Language, and Cloud computing. Deep understanding of concepts and techniques in machine learning/deep learning with Scikit-Learn, Keras, and/or TensorFlow and
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is integral to excellence. We value and honor diverse experiences and perspectives, strive to create welcoming and respectful learning environments, and promote access, opportunity and justice for all
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-Friday POSITION HIGHLIGHTS Performing complex troubleshooting, repair, maintenance, installation, and testing activities for telecommunication/video/computer/mobile and/or telecommunication/video/data
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culture and patient-derived organoids. Our goal is to combine molecular data, statistical analysis, machine learning, AI, and clinical data to identify opportunities to improve treatment, diagnosis