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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational
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national and international stage. At UQ, you’ll enjoy a supportive, inclusive and high‑performing environment that empowers you to grow your research profile, supervise emerging researchers and make a
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the negotiation layer of the platform, including different P2P negotiation mechanisms and architectures; (7) performing computational simulation and experimental validation of the developed platform, ensuring its
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School of Electrical Engineering and Computer Science Full-time, fixed-term position for up to 3 years Base salary will be in the range $104,209.38 - $111,431.10 + 17% Superannuation (Academic Level
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. This collection of information is needed to facilitate the administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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. To perform any other duties related to the research program. Job Requirements: Preferably PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly
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structural analyses; setup of high-performance computing (HPC) and usage of grid generators; Study of key grid generator parameters; - Automatic Component Grid Generator: Development of a grid generator script