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Field
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: algorithms, theoretical computer science, bioinformatics, computer security, artificial intelligence, machine learning, data science, or databases. Faculty will be expected to teach in both the residential BS
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
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Research Associate Brain Computer Interface - (25001321) Description Temple University's Neurology Department is searching for a Research Associate specializing in Brain Computer Interface. Become a
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machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists (internal
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/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application
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working in the exciting and dynamic fields of deep learning and medical imaging. The main focus will be to develop novel deep learning algorithms to analyze medical imaging data (e.g., ophthalmology
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analysis, and algorithms of computational research questions through independent research, studying existing code bases, and staying current with publications. Build awareness of software development tools
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Research Lab Fellowship. This position offers a unique opportunity to conduct cutting-edge research in Quantum Computing, Quantum Algorithm, and Numerical Simulation. This position, led by Prof. Sangmo Cheon
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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 processors with emphasis in qubit
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regulatory clearance of a new AP System (that included the algorithm program developed at the Center), published on October 16, 2019 in the New England Journal of Medicine . For more information visit: https