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Field
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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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and algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability
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algorithms. Train, test, and optimize AI/ML models for production environments. Integrate AI/ML components into web-based and backend systems. Ensure security, scalability, and maintainability of applications
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into the hands of students and researchers. Essential Job Duties Work with multiple faculty from various disciplines in Earth and Planetary Science to facilitate the use of remote sensing data (e.g., optical
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network of IoT weather sensors. Assemble, configure, and deploy custom IoT devices in field conditions, including satellite communication modules for remote data transmission. Optimize algorithms for edge
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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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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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life support system detailed in the research program. The project will include use of sensors, control algorithms, and computer simulations of clinical disease to inform development of an automated form
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challenges, encompassing both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilise computational