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Field
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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. It also may include implementing algorithms for signal processing, detection, classification, tracking, decision-making, and interfacing with hardware subsystems Collaborate within a team environment
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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with state-of-the-art equipment and instrumentation, programming software to interface with this equipment, software for logging/processing test data, real time programming of mathematical algorithms
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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manages multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develop broad-based solutions involving multifaceted technologies, and business processes
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people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and
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of computational biology and bioinformatics; Research and stay current with project related scientific literature; Develop and validate new algorithms and tools to accomplish scientific objectives; Identify and
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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projects involving methods development, novel algorithm development and/or in-depth data analysis that facilitates and integrates implementation, visualization, and database management of multi-dimensional