462 machine-learning-"https:" "https:" "https:" "https:" Postdoctoral research jobs in United States
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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for generations to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values. Why Work at Michigan? In addition to a career filled with purpose and
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University Chicago, in partnership with members of the Learning Theory team at Google. More information about IDEAL can be found here: https://www.ideal-institute.org/ . The positions will be hosted by
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, quantitative polymerase chain reactions, next-generation sequencing, and related, advanced molecular biology techniques. The person will instruct staff and students, participate in planning experiments, and
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, statistics, or mathematics OR a strong background in gene engineering and functional interrogation of hematopoietic stem and progenitor cells. Strong knowledge in bioinformatics, machine learning, statistics
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National
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, Neuroscience, or a related field by the start date. Demonstrated expertise in computational modeling of human behavior or computer vision / machine learning. Proficiency in Python, MATLAB, or R. Strong
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large sample libraries; performing in-depth analysis of proteins, peptides, and small molecules in beef and pork products that vary in consumer quality; and applying machine learning techniques to predict
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brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu