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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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parameters can be measured, such as thermal conductivity, density, specific heat, and dynamic viscosity. For the measurement of gas flows, (micromachined) thermal flow sensors are often used because
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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Assistant Professor in the School of Chinese Medicine (Ref.:532662), to commence as soon as possible, on a two-year fixed term basis, with the possibility of renewal subject to satisfactory performance and
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the current thermo-mechanical process use to strengthen the current generation of crush alloys. Programme will use different thermomechanical processing paths including heat treatment and more complex paths
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UTEP's strategic initiative to develop a world-class research cluster in this field, supported by the UT System Regents' Research Excellence Program. Research Assistant Professors will contribute to high
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responsibilities include: gain a deeper understanding of pectin structures in tomatoes and related endogenous enzymes, resulting in a PhD-thesis; set-up a (semi-) high throughput chromatographic method to map pectin
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular