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technology, and Big data analytics. The candidate is expected to work closely within a team of Texas A&M AgriLife and USDA scientists at Temple to develop an innovative research program in digital agriculture
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environment for all employees through mutual respect and tolerance. Description of the project The postdoc will leverage existing high-throughput data from large scale cohorts and large family cohorts
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plasma physics, MHD stability, or fusion energy research; familiarity with large-scale data management, curation, FAIR data principles, and machine learning; experience conducting original scientific
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these grants (e.g., videos of hundreds of large groups trying to reach consensus, real-world court data on racial composition of juries and videos of jury selection, databases of real 911 calls
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skills. Experience with cloud computing and big data analytics platforms. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID: 23791 Apply now
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
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media data using platform APIs and/or web scraping Analyse large-scale data using appropriate digital methods (flexible, but please specify) Present research at national and/or international events Lead
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between the two linked studies as well as taking the lead in the large-scale qualitative secondary analysis of interview data from multiple sources. In this role you will be expected to contribute
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these grants (e.g., videos of hundreds of large groups trying to reach consensus, real-world court data on racial composition of juries and videos of jury selection, databases of real 911 calls
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(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in