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Field
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questions in quantum information science, and to guide near-term hardware and algorithm co-design. What You Will Do: Design of superconducting electronic devices with emphasis on superconducting quantum
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interdisciplinary teams to apply developed algorithms to real-world datasets and generate valuable biological insights. Perform integrative analyses of multidimensional datasets within the context of basic immunology
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, infrastructures; algorithmic bias and fairness; artificial intelligence (AI) policy broadly or within specific professional sectors (e.g., health information systems; knowledge management systems; information
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employing standard and advanced statistical methods, including machine learning algorithms. The incumbent will also pursue independent research interests, secure extramural funding, and contribute to academic
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minimum qualification to be hired and to continue to be employed in the position. Essential Duties and Responsibilities Software development and maintenance Methods/algorithms development Computational
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally intensive statistical analyses, summarizing
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the total compensation value with benefits. Qualifications Experience developing software to take practical advantage of state-of-the-art ML algorithms and research results in AI. (Required) Experience
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, portion estimation algorithms, and the integration of large language models for the PlantVillage Food app. Manage partnerships and coordinate activities with key stakeholders including, but not limited
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support