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lines, as well as embryo phenotyping. Cell culture is used to either generate genetically defined mouse lines or challenge human-relevant disease models at the Mary Lyon Centre. Mouse embryos and adult
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research centre well-known for its close-knit community, friendly atmosphere, and outstanding research support. We are seeking a post-doctoral research associate with experience in computational approaches
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: Conduct laboratory-scale hydraulic fracturing experiments under controlled high-pressure and high-temperature conditions. Perform gas permeability measurements in fractured and unfractured samples to assess
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superposition approach to predict HEA material responses at high beam power conditions, and the results will be validated against new test data. The combined optimum testing matrix and robust modeling techniques
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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-treatment, operational modes, and gas variability on final CO2 purity and process stability. Collaborate with process modelers and experimentalists to align capture conditions with system design and operation
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surface properties. Many of these properties are believed to represent adaptations to specific environmental conditions, resulting in distinct distributions of certain combinations of leaf properties
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. The successful candidate will conduct research involving animal models, specifically using the rabbit cornea. Responsibilities also include publishing findings in leading journals and conferences, leading group
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), structural health monitoring, and smart manufacturing systems Design and execute experiments involving ultrasonic, electromagnetic, and other material testing techniques Develop and apply computational models
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publicly available data from an array of cities. As such, the postdoc should have strong experience working with large datasets, modeling ecological data, and maintaining national/international