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vision transformer or large vision AI model Expertise in high performance computing Expertise in image and spatiotemporal data processing Expertise in federated learning on large computing clusters A
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the command line. Background in structural biology, molecular modeling, protein dynamics, and understanding of ensembles. Have experience with large-scale computations on compute clusters, bonus points
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of health outcomes in the general population using molecular, socioeconomic, and environmental data. You will work with very large, globally unique registry, medical, and molecular data from CBS and ELAN
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) the Shadow survey, a new DECam effort to ‘shadow’ LSST in select nearby galaxy cluster fields; 2) the sub-day cadence supernova search, DLT40, focused on the nearest and brightest transients in the sky; 3
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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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field (e.g. Ecology and Environmental Sciences) at time of hire. Experience with management of big data sets (e.g., USFS Forest Inventory and Analysis, remotely sensed data, such as LiDAR), analyses in