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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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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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and within countries. Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data. Review, assess and improve results, methods and
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-edge AI ready data management. We’re working on extending and maintaining the National Data Platform (https://nationaldataplatform.org/ ) and advanced data management software in the Science Data
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migration Developing appropriate statistical algorithms for updating model parameters estimates Working with database manager to organize the fish data and environmental covariates Analyzing data and
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• Flexibility to learn new technologies, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
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learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc. Excellence in at least one of
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, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data
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the composition of the lower continental crust with the joint inversion of surface wave and receiver function data, see https://tinyurl.com/nsfawardlink. This team will target outstanding questions about the bulk
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languages & compilers, software engineering, systems, and theory. Faculty from our school are leaders in a variety of Georgia Tech initiatives, including the Algorithms and Randomness Center (ARC), the Center