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Field
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engineers have to rely on steel reinforcement. This comes with a significant environmental cost, as steel production is resource- and carbon-intensive. But nature has already perfected the art of turning
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instrumentation, quantitative analysis, and modern modeling approaches that help connect fiber properties to fabric performance. Learning Objectives: Under the guidance of a mentor, you will: Develop
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for environmental qualification campaigns. • Electromagnetic modelling and simulation of resonant microwave structures to support experimental investigations. • Preparation of technical documentation, including
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How do mobility systems respond when everyday travel is disrupted? How can we model who loses access, where, for how long, and under what conditions recovery is possible? We are looking for a
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 18 hours ago
, are considered. The participant will gain experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
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reorganize their nuclei and gene regulatory systems to survive extreme environmental conditions. Some organisms can survive the loss of almost all cellular water by entering a state of suspended animation
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of polymers and composites used in civil infrastructure, with an emphasis on understanding and modeling the effects of moisture, temperature, and environmental exposure on material performance and service life
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on developing multi-scale mechanical models to predict how printed inks behave under mechanical and environmental stress. Your role: Build multi-scale models and extend the Eindhoven Glass Polymer Model for latex
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on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and
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Herbarium collections and targeted field collections. Generate, manage, analyze, and synthesize genomic, phenomic/spectral, trait, spatial, environmental, and taxonomic data. Conduct phylogeographic, species