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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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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Title: Northeast Climate Integrated Modeling: Defining biological references and setting catch advice in a dynamic
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Title: Northeast Climate Integrated Modeling: Defining biological references and setting catch advice in a dynamic
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Segment Care image labels; shape active-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab
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candidate is expected to have experience in one or more of the following areas: geomaterial performance assessment and modeling, life cycle assessment, infrastructure performance and design, supply chain
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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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data from laboratory experiments to create a database of amphibian immune performance to be used for building and validating climate dependent mechanistic species distribution models. The applicant will
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integration of observational constraints. Interest in or experience with the development of emulators of complex models is also valuable. The postdoctoral associate may also have the opportunity to work with
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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
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, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and artificial intelligence for advanced modeling and analysis