128 engineering-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Zintellect
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. Description: NASA Inexpensive Network Sensor Technology for Exploring Pollution (INSTEP) is a low-cost air quality sensor network utilized in combination with NASA remote sensing datasets to analyze air quality
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facilities conducting research in DHS relevant areas? If you answered “Yes”, to the above questions, the HS-POWER program is for you! The U.S. Department of Homeland Security (DHS) Science and Technology
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(for example, utility reports, sustainability disclosures, and cooling technology specifications) and other compiled datasets to explore uncertainties in reported water use and to develop a pilot, regionally
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, plant science, engineering, textile technology, and data science. This team is dedicated to developing and improving methods for assessing cotton fiber quality across production, processing, and end-use
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): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (3 ) Computer, Information, and Data Sciences (1 ) Engineering (3 ) Life Health and Medical Sciences (22 ) Mathematics and
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cotton fiber structure affects coloration. You will engage with a multidisciplinary team spanning chemistry, plant science, textile technology, engineering, and data science. This team is dedicated to improving
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
the use of natural products, either by discovering safer natural pesticides or by manipulating their production in plants by genetic engineering or other means. You will use plant molecular biology to
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) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical
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Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2
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approaches are used to address real-world challenges in the food industry. The participant will collaborate with chemists, material scientists, plant scientists, and food engineers to build a comprehensive