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will also collaborate with scholars at UMass Amherst at the Center for Human Health & Performance, Department of Mathematics and Statistics, UMass EXTENSION, Northeastern University, Boston, MA
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advanced grid-connected hardware architectures. · Implementing control loops for grid-connected power converters. · Developing gird-following and grid-forming functionalities
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complex terrain regions. CMAS does this by innovating on the fronts of meteorological data acquisition, analysis, and interpretation (https://www.bnl.gov/cmas/). The CMAS work portfolio is conducted within
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position to develop and apply emulators for Earth System Models (ESMs), with a particular focus on the role of the biological carbon pump in oceanic carbon cycling and climate feedbacks. The research will
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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in spatial equilibrium modeling (e.g., through coursework, dissertation work, or previous projects) experience with spatial data analysis using GIS tools or spatial libraries and familiarity with
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. Knowledge and Professional Experience: Knowledge of programming languages used in data analysis (particularly Fortran and/or Python) will be valued, but it is not essential. High Performance Computing
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. The successful candidate will work as part of the life cycle infrastructure asset planning, management, and policy optimization team for improved sustainability and resilience. We aim to develop mathematical and
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Job Description The Opportunity Multiscale Advection Diffusion Analysis Laboratory (MADAL) is seeking candidates for a Postdoctoral Research Scholar position in the area of thermos-fluids modeling
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analysis or predictive modeling of pathogen biology or host-microbe systems for which multidimensional, genome scale experimental data are now available, or it may use population scale genetic, clinical