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Field
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supplies and student assistants, as needed. Existing team expertise includes marine genomics, coastal and estuarine biogeochemistry, invertebrate taxonomy, and marine microbiology with additional local
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research in the field of machine learning, more specifically, deep learning and representation learning architectures. Application areas of ML include, but are not limited to, computer vision, natural
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processes. The analytical work needed spans core biophysical modeling of how landscape/seascape changes affect the flows of ecosystem benefits to people, including improving explicit linkages between
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, respirometry and ETS measures of fishes to quantify thermal and DO stress, ecology of coastal fishes in the northern Gulf of Mexico, effects of an introduced planktivore on resident fishes and other aquatic