98 phd-computer-artificial-machine-human Postdoctoral positions at Rutgers University
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, and Abilities PhD is required along with knowledge of molecular biology, computer programming, statistical analysis and genome evolution. Mentoring experience is also required. Preferred Qualifications
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collaboratively is also essential. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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, moderate standing, moderate walking, bending, travel to various sites/locations. Extensive reading required. Extensive computer work required. Periodic speaking/lecturing for prolonged periods. A Moderate
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/Licenses Required Knowledge, Skills, and Abilities • Experience in genetics, molecular and cell biology. • Computational experience, particularly in using R package and analyzing mouse/human genomic datasets
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, understand, and communicate in English sufficiently to perform job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and
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SAS and/or R programming skills. Effective oral communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel
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. Successful candidates may come from any relevant discipline. All requirements for the PhD or other terminal degree in the relevant field must be completed by August 1, 2027. A record of publication and
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. Successful candidates may come from any relevant discipline. All requirements for the PhD or other terminal degree in the relevant field must be completed by August 1, 2027. A record of publication and
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a strong computational background and extensive experience developing high-throughput systems for quantitative analysis of behavior and aging, allowing us to connect neural and molecular mechanisms