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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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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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participating in existing studies, leading independent research, as well as conducting analysis of existing data, which can range broadly from behavioral (e.g., computerized task) to neuroimaging (e.g., fMRI
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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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data collection and/or analysis, literature reviews, community engagement, and grant writing. Overall goals and specific activities will be determined collaboratively between the post-doc and Dr. Mackie
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focus groups to co-design research; qualitative data analysis. Engage with citizens more broadly as part of ARROW-Engage stakeholder workshops as well as meetings with interested parties sponsored by
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research design. This position assists CBIKS thematic research groups in conducting “science of science” research within the CBIKS network. The eight research theme areas at CBIKS are: ethics, data
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of Microbiome, Microbiology, and Immunology in the lung. The postdoctoral fellow will assist with the conduct of all studies, analyze and present data, supervise student researchers and be active in presenting
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or related field. Preferred Qualifications (Knowledge, Skills, Abilities, Education, Experience, Certifications, Licensure) Experience with data analysis and reduction of optical, NIR, sub-mm, and/or radio