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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local
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, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and artificial intelligence for advanced modeling and analysis
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% 5. Present research findings at local and international conferences. LEVEL OF DECISION MAKING: The postdoc will design and optimize experiments, particularly for Next Generation Sequencing workflows
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and experiences in at least one of the following areas: 1) advanced data analytics for performance prediction and risk analysis of transportation infrastructure; 2) network level optimization
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Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical
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Institute of Microbiology is looking for an individual that investigates powdery mildew resistance in hemp. Furthermore, the individual will also optimize a hemp transformation and genome editing platform
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from multiple sources are essential. Cornwall quantitative projects are in partnership with various local and state stakeholder groups and focus on numerous topics in K–12 education. The quantitative
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proficient in working with large data-sets (observational or numerical), machine learning, and running/analyzing numerical simulations. The initial appointment will be for two years at Rutgers University
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materials processing and characterization, optimization of process yield and increasing process volume, and investigating the detailed mechanisms behind each process step. Percentage Of Time- 20% 2
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local