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. Integrate various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large
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software tools, including applications in geoscience, optimization, and techno-economic modeling. Guide the team in modern software development practices (e.g., version control, documentation, testing
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the laboratory’s strategic goals. Contribute to the management and optimization of shared equipment, benefiting both the Institute of Geochemistry and Petrology and the Department of Earth and Planetary Sciences
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-armed Bandits, Bayesian Optimization. Automated Model Design and Tuning: Neural Architecture Search, Hyperparameter Optimization. Computer Networking: Resource-Constrained Networking (e.g., Internet
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that of CO2 and world-wide efforts are underway to develop and optimize equipment with environmentally friendly gas mixtures. The successful candidate will research (mostly experimental) on the arcing behavior
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-generation magnetic materials. The goal is to optimize them for technological applications, including renewable energy systems and medical magnetic resonance imaging. Project Overview You will investigate