12 assistant-professor-and-data-visualization 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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the lab, including meetings with graduate and undergraduate students to assist them in designing their experiments, analyzing their data, and presenting their results. When and if opportunities come up
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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
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a culture of success. Mentor and train lab personnel. Assist in maintaining a functional, safe, and compliant lab. Other Functions Work collaboratively and effectively to promote teamwork. Work in
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of GPS-derived movement data and historical demographic data collected at breeding colonies over the past few decades. Help lead stakeholder engagement efforts. Lead and contribute to publications and
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containing updated data and calculations pertaining to the GHG inventory implications of the land uses and practices analyzed over the course of the project, as well as relevant recommendations that can
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(Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure) Experience collecting and analyzing EEG data. Experience managing research teams or assistants. Strong background in cognitive
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. Specific activities will include protein purification and preparation, fluorescence microscopy and data collection and analysis of data from the single molecule laser trap and in vitro motility assay
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have the opportunity to assist in both the research and the community-partnered approaches to conducting this research. Responsibilities include writing scientific papers, quantitative and qualitative
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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