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in pavement engineering, with an emphasis on advanced sensing technologies and machine learning modeling. The successful candidate will contribute immediately to cutting-edge research projects
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his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop
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changing-look AGN/tidal disruption event/supernova host galaxy studies. Applicants with an interest in joint survey analysis methods, machine learning applications to survey data, and large-scale survey
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, translational assays, and molecular techniques, and offers the opportunity to collaborate with and learn from leading experts in leukemia and sphingolipid field. Key Responsibilities: Test therapeutic efficacy in
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on specific tasks so there will be plenty of opportunity to learn and be heard. Job responsibilities: Build responsive, scalable, and beautiful web components that solve pressing challenges in genomic data
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SPECIFICS Postdoctoral Scholar – Public Health Sciences Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking postdoc scholars
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background in one or more of the following areas: dynamics analysis of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on experiences on hardware-in-the-loop projects
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printing. Hands-on lab benchwork on cell biology, immunology, and animal tumor models is a plus. Generate, analyze, and evaluate data. Present results in an organized manner. Learn new techniques and
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, and organize all data from depositions, characterizations, and property measurements. (6) Organize all data and learning into scientific manuscripts, quarterly reports, and presentations. (7) Coordinate
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layers. (5) Document, interpret, and organize all data from depositions, characterizations, and property measurements. (6) Organize all data and learning into scientific manuscripts, quarterly reports, and