12 big-data-and-machine-learning-phd Postdoctoral positions at University of Massachusetts
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of Information & Computer Sciences About UMass Amherst The flagship of the Commonwealth, the University of Massachusetts Amherst is a nationally ranked public land-grant research university that seeks to expand
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Apply now Job no:525134 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Elect & Computer Engineering Union: Post Doc Categories:Postdoctoral Research Associate, College
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resources and warming climate. The ideal candidate will have highly developed skills in any of the following areas: hydrologic and/or water resources modeling, data science and machine learning with strong
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skills, data management and analysis experience, problem solving skills, the ability and willingness to lead and organize a large research effort, and will work productively and enthusiastically with
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well with a diversity of faculty, staff, and students from a variety of disciplines within and outside the University. Excellent computer skills, including Excel and Word, and the ability to learn new
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skills. Physical Demands/Working Conditions Standard office - ability to sit in front of a computer for an extended period of time. Ability to complete fieldwork including mark-resighting efforts which
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to and author grants. Essential Functions Conduct behavioral, EEG, MRI, and sleep physiology experiments in developmental and/or aging populations. Process and analyze neuroimaging and sleep data. Mentor
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Description Develop a program of research that makes significant advances in epithelial mechanobiology, collective cell migration, and wound healing. Design, collect data, analyze data, and prepare manuscripts
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Description Develop a program of research that makes significant advances in epithelial mechanobiology, collective cell migration, and wound healing. Design, collect data, analyze data, and prepare manuscripts
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research focused on LGBTQIA+ youth mental health. The Postdoctoral Research Associate responsibilities will include assisting Dr. Goff and the research team in quantitative and qualitative data collection