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Field
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teaching, academic research, and service. Preferred Qualifications Research that focuses on artificial intelligence or database systems and whose teaching interest relates to algorithmic programming and
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: Develop electromagnetic transient models for bulk power systems, power electronics-based resouces (e.g. HVdc, solar PV inverters), synchronous generators, loads, etc. Develop simulation algorithms
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algorithms for OpenUxAS, e.g. path planning algorithms. Since OpenUxAS is implemented as a service-oriented architecture, we also plan to develop methods to compositionally verify that collections of services
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: Develop scientific research in advanced reactor physics modeling and simulation as well as cross section processing through novel methods and algorithm design. Contribute to new reactor physics and cross
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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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of Mathematics at Cornell. Members of the lab engage in interdisciplinary research, drawing on approaches from geometry, topology, graphs and networks, probability/statistics, and algorithm design, in conversation
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capability to work collaboratively within a multi-disciplinary team. Job Description Primary Duties & Responsibilities: Analysis Development and Implementation: Develop and apply algorithms and software
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understand algorithms (basic, intermediate, advanced, probabilistic) within the master patient index (MPI) that identify potential duplicate records to apply best practice solutions for patient matching. Apply
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signals Innovate new in-line signal processing, measurement data analysis algorithms, and data visualization techniques. Innovate and test new instrument types and measurement methods, Work with commercial