755 parallel-computing-numerical-methods-"https:" positions at Michigan State University
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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are expected to conduct research independently, apply and develop advanced computational methods, communicate findings internally at regular intervals, disseminate results externally through peer
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research associates to apply molecular simulation and mathematical methods to extend and develop these predictive tools into a broadly usable pipeline. Drs. Wei and Woldring will expect candidates
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an on-call. On-Call allowed to work 1039 hours in any twelve (12) month period. Unit Position Summary The Data Scientist will develop and apply statistical, machine-learning, and computational methods
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Computing Center Performing quality control, regridding, and time-series alignment across products with differing spatial and temporal resolution Producing figures, maps, and summary tables for
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other institutions including the U.S. Department of Agriculture and several universities to improve upon existing remotely sensed data, develop new methods for detection of land management practices
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Computing systems on campus. Design and support modern development and operations processes and methodologies for researchers and internal ICER needs and work with other units on campus to create
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, CST Numerical EM modeling with Matlab or equivalent software Experience with lab equipment such as VNA, signal generators and testing of radiating devices in anechoic chambers Required Application
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a variety of methodological backgrounds, which is reflected in the mixture of quantitative and qualitative research methods we are using for this project. One important goal of our research is to
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magnetohydrodynamic flows; and autonomous distributed systems. We especially welcome candidates whose work integrates physics-based modeling with data-driven methods, develops new algorithms for complex nonlinear