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quantum error correction codes and decoders, and provide technical leadership in the area of classical and quantum error correction. Develop error correction coding and decoding software for use in the lab
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well as collaborate with SO faculty and scholars in the Department of Astronomy. UA/SO offers a world-class research environment in space science and astrophysics with strong interdisciplinary programs across
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, development, implementation and testing of a free-space optical laser communication system. The successful candidate will be responsible for leading a government funded research project with a team of faculty
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, and Abilities: Strong background in analysis of time series data including – Frequency domain decomposition (FFT), Wavelets, Forecasting Techniques, latent class modeling for time series data
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the research through dissemination of results: presentations. Development of extramural funding opportunity proposals. Basic competence in statistical analysis software. Participate in trainings with T32 Post
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under the direction of Dr. Abhijit Mahalanobis at the University of Arizona. His group is actively conducting research in AI/ML methods for small object detection, discrimination and classification as
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cancer models with the aim of eventually developing new small molecules or other therapeutic interventions that can successfully target malignant cells. To dissect cancer-specific vulnerabilities, we will
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here . Duties & Responsibilities Perform research and develop a software platform related to deep learning and security/privacy. Mentor and collaborate with undergraduate, masters students, and Ph.D
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cutting-edge technologies, including nanoparticle delivery systems and omics. These research projects have the potential to lead to new therapies, which will then be tested in preclinical studies
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scholars. The Phoenix Biomedical Campus embodies the University’s priorities of engagement, partnership, innovation, and synergy in its world-class academic and research initiatives, with clinical facilities