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detailed documentation. ? Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). ? Perform statistical analysis, including regression analysis and machine learning techniques
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. Candidates should have completed or be nearing completion of a PhD in climate and ocean sciences or related disciplines with training in using machine learning tools, such as CNNs and CENs. The search will
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create value for their organizations and society. Through our MBA, MS, PhD, and Executive Education programs, CBS prepares students to lead in a rapidly changing world. Our cutting-edge curriculum, STEM
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, MS, PhD, and Executive Education programs. We are equally committed to cultivating new scholars and teachers and to creating and disseminating pathbreaking knowledge, concepts, and tools that advance
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Research Scientist to work at the interface between climate modeling and machine learning. The successful applicant will perform research as part of the multi-institution international project, M²LInES https
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for Computational Electrochemistry (CCCE) is seeking an Associate Research Scientist (ARS) with expertise in surface science, electrochemistry, first-principles electronic structure methods, and machine learning
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machine learning and Bayesian methods to interpret seismic tomographic models of the elastic structure of the deep Earth in terms of temperature and mineralogy. Using thermodynamic properties databases
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seeking a Staff Associate II (study clinician) to join the research team of Pinciple Investigator (PI), Laura Mufson, PhD, and Co-PI Christa Labouliere, Ph.D.. The successful candidate will support many
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focused on computational cancer biology including areas of cancer genomics or epigenomics, tumor immunology, computational structural biology, artificial intelligence/machine learning applied to cancer
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: PhD degree in biomedical informatics, nursing informatics, computer science, information science, computational linguistics, data mining, or a closely related field; or an MD/PharmD with demonstrated