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statistical mechanical theory to analyze the simulation results Basic understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred
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computer science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages
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SWAT and MODFLOW. Exceptional Fortran programming expertise is essential and will be a major selection criterion. The selected candidate must be able to read, understand, modify, extend, compile, debug
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rigorously. Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and computational tools. Contribute to the definition of system
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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Albert Einstein College of Medicine (Bronx, NY) | New York City, New York | United States | about 21 hours ago
stem cells. 2) Functional genomics of noncoding regulatory variation Projects will use massively parallel reporter assays, CRISPR-based screens, and genome editing to test noncoding variants, map
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density functional theory. Refereed publications in these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel
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parallel research undertaken in both 5G+ and 6G for 2030+. About you Strong research expertise in one or more areas directly relevant to ISAC, such as channel modelling, radar/sensing signal processing, MIMO
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Collaboration together with CERN and a number of other institutes worldwide and has over the years contributed to a number of space-specific physics models and other software capabilities and applications to
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industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you Strong research expertise in one or more areas directly