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Field
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excitation) in to the current waveguide chip settings. further develope microfluidics for controlled fluidic exchange allowing for kinetic measurements and to enhance data-driven image analysis to provide
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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(e.g., mathematics, physics or computational social science), with a strong track record in network science (or complex networks / social network analysis); Excellent writing skills and proficiency
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postdoc to study how supply chains can stay resilient and meet regulatory demands, using system modeling and scenario analysis. Job description Supply chains are increasingly exposed to complex and
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with statistical analysis of complex datasets; experience in R preferred. Interest in or experience with metabolomics, dietary biomarkers, or cardiometabolic research preferred. Experience with community
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questions related to artificial intelligence, sentiment analysis, social networking analysis, marketing and management strategy, public policy, marketing data modelling, consumer behavior, and online
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 32 minutes ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field
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analysis), divided into 10 research groups and 3 technical platforms. As part of the research project Understanding by Raman Optical Activity of Solvent Structuration - CAORSS , funded by the National
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of complex pancreas/biliary disorders. Historically, the Division has made a number of seminal contributions in the fields of hepatology and nutrition, and generates important knowledge in our understanding
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interactions. Work with primary human airway epithelial cultures and immune cells. Analyze and interpret complex datasets (e.g., molecular, cellular, and/or omics-based data). Assist with development of grant