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Field
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quantitative micro/nanostructural analysis, with the objective of determining the role of water activity on the rheology of lower crustal rocks. Your responsibilities: Laboratory synthesis and characterisation
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are expected to utilize computational, biochemical, functional, and in vivo approaches including RNA omics and bioinformatics approaches. Experience with tools of RNA sequence analysis is desired. Minimum
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join a highly collaborative laboratory focused on the development and application of MRI technology and analysis software in the Department of Biophysics, with access to state-of-the-art instrumentation
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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Number: 203914 Minimum Education and Experience: PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Location: Busch (RU-New Brunswick) Create a Job
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Number: 208746 Minimum Education and Experience: PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. City: Piscataway State: NJ Location: Busch (RU-New
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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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optimization and logistics management. Data analysis and project management skills. Strong understanding of optimization concepts and profitability. In-depth knowledge of environmental sustainability standards
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mechanisms through reaction kinetics analysis and other physical organic and inorganic techniques Perform detailed in situ / operando studies of catalysts using X-ray Absorption and Emission Spectroscopies
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data