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elsewhere as part of the same ANR project will be performed. Refractory high-entropy alloys (RHEAs) with a body-centered cubic (bcc) structure are single-phase solid solutions composed of elements such as Ti
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, statistics, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples for testing. Performs
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semiconductors such as GaN and SiC and to enable reliable operation at voltages >6 kV, where suitable alternative is currently unavailable. Such devices are expected to find applications in high-efficiency power
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some
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provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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under relevant process conditions. Rational mutagenesis and computational protein design will then be applied to enhance lithium specificity and operational robustness in complex, high-impurity leachates
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into include: Upscaling of multiphysics transport phenomena Film formation and efflorescence Multiphase Computational Fluid Dynamics High-performance computing Where to apply Website https
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subsystem will be integrated into an experimental solar thermophotovoltaic platform at PROMES. The candidate will explore the operation of the system under realistic high-temperature conditions using