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limited to thermal cameras, audio recorders, air and other environmental samplers, and environmental sensors. In addition, this position will represent NSF-CPI in interactions with various partners and
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techniques in materials or chemical modeling—e.g., graph neural networks, ML interatomic potentials, and uncertainty quantification. Strong programming skills in Python (or equivalent), with demonstrated
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, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by
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