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models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi-modality data analysis (e.g., image
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analysis of neuroimaging data. Ability to independently perform large-scale data analyses. Excellent communications skills in English, both verbal and written. A proven track record of research productivity
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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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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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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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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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area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer. Qualifications: Required: PhD in Ecology, Geography, Data Science, or related
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on addressing fundamental and technical challenges in measurement-based quantum computing using continuous-variable cluster states with a three-dimensional entanglement structure. The successful candidate will
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large