1,752 data-"https:"-"https:"-"https:"-"https:"-"Washington-State-University" Fellowship positions
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behaviour testing of steel and aluminium members/connections iii. Fabrication trials and validation of welded structural components iv. Data acquisition, instrumentation and monitoring during laboratory
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
intelligence-enabled opioid pharmacovigilance and inspection software application that advances drug safety surveillance by integrating real-world data and regulatory data. The new comprehensive multi-resource
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New Zealand, in the continuation of their studies in New Zealand or the Commonwealth. For more information visit Universities NZ . Value $5,000 Closing Date 1 March Selection Criteria Applicants must be
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national and international projects. About the opportunity Lead project field data science related to quantifying water security and biodiversity. Deliver outreach and adoption that translate research onto
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The Division of Banking & Finance at Nanyang Business School seeks a Research Fellow to support data-driven and AI-enabled research in investments and financial markets. The Research Fellow will be
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5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
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of chronic diseases using wastewater-based epidemiology. This will involve integrating evidence from systematic reviews, epidemiological studies, and wastewater-derived data to build comprehensive, predictive