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Field
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to be achieved: Development of algorithms for analyzing facial expressions in static and video images. Analysis and evaluation of identity bias in facial expression recognition. V - Initial grant duration
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methods already make it possible to observe neuronal activity during photoreceptor stimulation in genetically modified animals. These methods, with further developments, could effectively provide
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for in-space manufacturing and testing. Develop AI algorithms for navigation, guidance, and control. Lead collaborative research proposals for NSF, DoD, DOE, NASA. Mentor students and build
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: Ability to use data visualization tools Advanced knowledge of data querying languages, and statistical or mathematical software Advanced knowledge in writing algorithms, and knowing when to apply them
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performance using SEO/web management tools. Stay informed about industry trends, algorithm updates, and best practices in SEO to continually refine strategies. Maintain compliance and University integrity by
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swarm behaviors specified at the macroscopic level. 5. Implementation of swarm robotics algorithms and research prototypes using the ROS 2 middleware framework. 6. Execution of experiments with physical
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electrode arrays - 20% data analysis with advanced methods such as multiple regression, fourier domain algorithms, modern statistical approaches - 5% paper preparation including writing text, making figures
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faculty, and conducts a wide range of collaborative quantum research in the areas of quantum computing, quantum algorithms and complexity, quantum cryptography, quantum program verification, quantum machine
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involves a deep dive into biological systems using computational techniques. The candidate will help design and implement algorithms to analyze complex biological data (like high-throughput sequencing data
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create new mathematical approaches, algorithms and software to advance scientific research in multiple disciplines, often in collaboration with other Flatiron Centers. CCM has particularly strong research