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Field
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modeling; pharmacogenomics; health informatics; data science, machine learning, or deep learning; causal inference methods Strong written and oral communication skills, with at least one first-author
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cohorts with rich clinical data. Works on advanced modeling of post tuberculosis lung disease risk using approaches including generalized organoid models, and linear models and deep learning. Minimum
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for AI and deep learning (details: NVIDIA DGX-2) Intel-based Aurora Supercomputer: A next-generation supercomputing system (details: Aurora Supercomputer) Additional advanced compute architectures designed
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Woods Hole Oceanographic Institution | Woods Hole, Massachusetts | United States | about 1 month ago
outputs, developing and evaluating machine learning methods for sound processing (including deep learning approaches such as convolutional neural networks and transformers), and testing detector performance
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and structure modeling for protein, RNA, or small molecule. Apply computational techniques, data analysis, and visualization methods for ongoing studies. Train and validate large deep learning models
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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approaches to remove atmospheric particulate (e.g., PM2.5) pollution. The math-based subgroup focuses on the use of deep learning and generative AI to address critical problems for the electric grid and broad
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in
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. The successful candidate will pursue an active research agenda and contribute to the Climate Policy Lab?s ongoing projects, as well as contribute deep expertise in either China, Latin America, or system dynamics