471 model-driven-engineering-"Data-driven-Materials-Modeling" positions at Rutgers University
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, reporting, and budget administration across our decentralized research university. Among the key duties of the position are the following: Develops and maintains sophisticated financial models, forecasts, and
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, Rutgers University. These positions are funded by research grants from the National Institutes of Health (NIH). Dr. Zhu’s research team focuses on modeling studies of small-molecule drugs, nanomaterials
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development. Advanced expertise in methodologies used to enhance student curricular and co-curricular success, such as collaborative teaching/learning models, strategies for effective counseling and peer
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include but is not limited to 1) developing, validating, improving and applying cell-based and other preclinical models to understand the functions of lipids, lipoproteins and related factors in influencing
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institution’s research and expertise in the field of Alzheimer’s disease, dementia, and related neurodegenerative disorders, and will be responsible for conducting data-driven research, analyzing complex datasets
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focuses on investigating how biomedical implant degradation products modulate host immune responses using advanced cellular and murine models. The overarching goal is to develop novel therapeutic strategies
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office.) The Director of Financial Systems and Reporting provides strategic leadership for Rutgers University’s financial technology ecosystem, ensuring the integrity, functionality, and optimization
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Position Details Position Information Recruitment/Posting Title Lab Tech Assistant - Seasonal Posting Number 26TM0208 Department Biomedical Engineering Overview Rutgers, The State University of New
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cancer. The role involves designing and executing complex experimental studies involving drug target evaluation, molecular pharmacology, cell culture models, and in vivo xenografts to evaluate targeted
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related