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PhD Graduate - Artificial Intelligence And Complex Systems Researcher
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- Are you interested in exploring different complex systems domains such as climate science, earth systems, environmental resilience, materials science, and biology?
- jhuapl.edu/isc), develops novel AI methods to transform climate intelligence and earth systems research, as well as accelerate scientific discovery and design for materials, protein engineering, and other physical and biological systems.
- Have experience in one or more of our core skills: AI/ML algorithms, data science, deep learning, graph theory, software development, or statistical analysis.
- Have experience applying AI/ML to real-world data such as satellite imagery, remote sensing data, climate data, materials data, omics data, or additive manufacturing related data.
- Are familiar with advanced AI methods like generative adversarial networks, physics-informed neural networks, neural operators, surrogate models, graph neural networks, and foundation models.
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