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associations between traits of interest and genotype data; 3) analysis of multi-environment trials; 4) genomic predictions of complex traits; 5) phenomics pipelines to enhance breeding. Applicants should have a
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and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation infrastructure; 2) network level optimization
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intrapersonal and communication skills in order to relate with current and propsective student athletes, athletic department personnel and media. Computer literacy. Demonstrated regular and predictable attendance
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biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease. Implement machine learning models to improve
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an institutional research office, academic affairs, or related higher education administrative unit. Experience developing data dashboards, predictive analytics, or visualization tools for program effectiveness
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patient-specific, predictive models using real-world clinical data. The project aims to enhance understanding of disease trajectories, optimize treatment strategies, and support real-time clinical decision
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C++ for protein structure simulations and use of Artificial Intelligence (AI) driven prediction tools. Generates and analyzes protein sequence/structure data using in-house scripts, Matlab and
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on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https://futureofwork.rutgers.edu . Union Description Admin Assembly (MPSC) Payroll Designation
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on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https://futureofwork.rutgers.edu . Union Description Admin Assembly (MPSC) Payroll Designation
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the direction of the Principal Investigator in building a first-of-its-kind Software as a Medical Device (SaMD) that predicts, detects, and manages SSIs by fusing RGB + thermal wound images