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quantitative and analytic skills with proficiency in R/Rstudio, STATA , SAS , or other statistical software; Exposure to pre and postprocessing of electromyography and electroencephalography; Ability to
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); Strong quantitative and analytic skills with proficiency in R/Rstudio, STATA , SAS , or other statistical software; Exposure to pre and postprocessing of magnetic resonance imaging and/or magnetic
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, or FMD ); Strong quantitative and analytic skills with proficiency in R/Rstudio or other statistical software; Ability to publish in peer-reviewed journals, with at least one first-author
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publications can be found on his lab website: https://www.zhuhlab.com The candidates will focus on one or two of the following projects: Developing predictive toxicity models for assessing new
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but other terrestrial taxa can certainly be considered. Preferred Qualifications Applicant must be a strong writer and quantitatively skilled with experience using GIS tools and statistical software
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be found at https://uhr.rutgers.edu/benefits/medical-plans ). Additional support is available for conference travel and professional development. The selected candidate will also be eligible for
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be found at https://uhr.rutgers.edu/benefits/medical-plans ). Additional support is available for conference travel and professional development. The selected candidate will also be eligible for
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record of peer-reviewed publications Experience developing software with Python, R, and/or Julia Experience with machine learning and AI algorithms and tooling (e.g. PyTorch) Experience with remote
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, patient records, and other public clinic outcomes using advanced data analytic techniques. Developing web-based cheminformatics and biomedical informatics scientific software and toolboxes. Rutgers
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, patient records, and other public clinic outcomes using advanced data analytic techniques. Developing web-based cheminformatics and biomedical informatics scientific software and toolboxes. Rutgers