278 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Simons-Foundation"-"St" positions in United States
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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from multiple disciplines and institutions. RESPONSIBILITIES: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused
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electromagnetic transient models for bulk power systems, synchronous generators, large loads, etc. Develop simulation algorithms that enable large-scale simulations and/or AI/ML experience for intelligence in
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training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
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SNS. You will also work with other technical groups including data acquisition software, information systems, detector development, data reduction and data analysis software developers. You will have
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. JOB COMPETENCIES: Design, develop and/or maintain multiple complex applications, user interfaces, application functions, application interfaces, databases or database applications. Implement
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results for manuscripts and other reports. Assists in developing, writing, and implementing statistical analysis plans. Interfaces with the more biologically-driven multiple omic projects, including
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cancer biology using a variety of molecular profiling platforms including next generation sequencing, single cell sequencing, spatial techniques, organoids development, and evolving novel platforms amongst
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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to programming, data structures, algorithms, networking, database, and cybersecurity. - Utilize inclusive pedagogies and course design to effectively promote student learning. - Engage in curriculum development