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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How
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develop research projects for the Internet of Things for Precision Agriculture (IoT4AG) research grant Develop novel semantic mapping algorithms in the field of agricultural and forestry robotics to promote
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figures of lab members. Candidate will train on the lab’s fundamental algorithms and run them in a collaborative manner with other team members to generate paper figures and make discoveries. Collaborative
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visually-guided decision-making in the fruit fly, Drosophila melanogaster . More information about Dr. Card and the lab’s research can be found by visiting https://www.hhmi.org/scientists/gwyneth-card About
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to the development of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation
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includes implementing and testing machine learning algorithms on quantum control tasks such as state preparation and qubit reset. You will gain hands-on experience with machine learning techniques and their
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architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines
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battery technology research: https://www.youtube.com/watch?v=laPjbVujBKM&t=5s Electric vehicles: https://www.vttresearch.com/en/ourservices/electric-vehicles Batteries: https://www.vttresearch.com/en
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: Bioinformatics, biostatistics, and health data science General computer science: programming, algorithms, and theory Software engineering The candidates must hold a doctoral degree in any of the areas listed above
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scope is broad and varied, including proving theorems, high-performance implementations of mathematical algorithms, practical machine learning, and statistical data analysis. Our research environment is