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Field
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and knowledgeable in the areas of stress analysis (including the Finite Element Method), material characterisation (particularly flow stress determination and modelling), mechanical testing methods
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to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph theory, and statistics. Algorithm
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on the Front Range of the Rocky Mountains with views of 14,000 foot peaks, and offers access to numerous cultural, recreational, and outdoor opportunities. Position Summary Temporary Postdoctoral Fellow
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broad range of contemporary health-care related issues including: • Health Services Innovation • Integrated Care Models • Health Workforce Development • Symptom Management. What you need to succeed
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. The project targets modeling formation dry-out and salt precipitation during CO2 storage. The candidate will work on developing numerical models for salt precipitation at pore- to continuum-scale, with special
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complex geometries represents a hazard. It is also relevant to compare the SoK for similar systems using different fuels, and to explore the predictive capabilities of consequence models through blind
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of flame acceleration and detonation phenomena and/or numerical modelling and simulation of three-dimensional turbulent reacting flows in a CFD code is a requirement. Applicants must be able to work
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metrology, with expertise in quantum state discrimination and parameter estimation and/or in-process metrology and conventional optical microscopy, as well as image processing and model development
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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experimental collaborators, we build numerical and theoretical models from the ground up, revealing how the known mechanics of individual components give rise to collective behavior. Many such phenomena occur