94 software-testing "Computer Vision Center" Postdoctoral positions at Rutgers University
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Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote sensing and open-source GIS tools (e.g. Google
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. Preferred Qualifications Applicant must be a strong writer and quantitatively skilled with experience using GIS tools and statistical software, ideally R, and could have a PhD in one of several fields
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, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical neuromodulation experiments, including open-loop and closed-loop stimulation paradigms, to test
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populations. Proficiency in both qualitative and quantitative research methods. Experience with R data analysis software is required (proficiency is preferred) and experience with Dedoose, Cytoscape, and/or
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, STATA, SAS, or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic resonance spectroscopy data or willingness to learn neuroimaging techniques
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Builder, and community-scale building energy tools such as UrbanOpt; advanced experience with regulatory economics modeling software may be substituted o Strong quantitative skills, with the ability
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. Experience with data analysis software (e.g., SPSS, R, NVivo) is highly desirable. Evidence of scholarly productivity, including publications in peer-reviewed journals. Strong written and verbal communication
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patients with advanced cancers (see links below for more information). These studies feature various multimodal data collection approaches, including data from surveys, biosamples, cognitive testing
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dimensional with some activity patterns being associated with movements and others not. By using our novel techniques, that can drive precise patterns of activity distributed across many neurons, we can test
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research on health outcomes and environmental data. Experience in qualitative research or community engagement. Equipment Utilized Computer literate with proficiency in statistical and analytical software