13 machine-learning-"Dana-Farber-Cancer-Institute" research jobs at University of Kansas
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Computational Methods: ab initio molecular dynamics simulations, development of machine learning, and reaction rate theory and modeling Research: Project design, execution of calculations, data analysis
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combination of analyses of root distributions, periodic and high frequency soil moisture data, and physical and chemical soil data. Specifically, the individual will: Work with physical or machine learning
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soil moisture data, and physical and chemical soil data. Specifically, the individual will: Work with physical or machine learning models to explore drivers of soil structure, preferential flow, depth
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integration. Such activities include computer aided design and simulation, hardware layout, and debugging. 10% - Participate and support field deployment activities including system installation, radar
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27769BR Achievement & Assessment Inst Position Overview Accessible Teaching, Learning, and Assessment Systems (ATLAS), a research center at the University of Kansas (KU), is seeking an Associate
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laboratory and a desktop computer will be provided. Coverage begins on day one for health, dental, and vision insurance, and includes health expense accounts with generous employer contributions
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packages such as SAS, R, or Mplus. They will have the opportunity to visualize data for multiple audiences. They will learn to prepare and share datasets (along with data dictionaries) and scripts in public
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or knowledge of Kansas geology. Experience with forklift and/or willingness to learn. Experience or coursework with databases, data entry, and scanning. Experience with power tools such as saw and/or wet saws
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, medicinal chemistry, and/or deep learning approaches. Publications in peer-reviewed journals, proceedings, or books in subjects relevant to the CCB lab or chemical biology research. Contact Information
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opportunity to visualize data for multiple audiences. They will learn to prepare and share datasets (along with data dictionaries) and scripts in public data repositories. In addition, they will help pre