62 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at Rutgers University
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, Chemistry or related scientific fields and experience and knowledge managing and analyzing spectroscopic data to build predictive models. The Successful candidates should be able to work independently, have
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for a post-doctoral research associate position in the area of transportation modeling and planning. The position is for two-years but may be extended depending on results and available funding
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research with young children Experience with computational methods (e.g., Bayesian modeling, drift diffusion modeling, etc.) Equipment Utilized Physical Demands and Work Environment Overview Statement
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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Posting Open Date 08/22/2022 Posting Close Date 01/03/2028 Qualifications Minimum Education and Experience A Ph.D., MD or DVM in a field appropriate to the research area is required. Knowledge of molecular
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
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health technologies. This role offers an exciting opportunity to work on developing and validating models for wearable sensors aimed at improving human movement, rehabilitation, and fitness engagement
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application · Experience in implementation of quality assurance/quality control research operations and reporting · Conceptual modeling and creation of innovation ideas · Familiarity with data analytics
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with metabolomics workflows (LC-MS, GC-MS) and integrative multi-omics analysis. Knowledge of statistical modeling and systems biology approaches. Experience with HPC or cloud computing environments