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/Computer/Mechanical/Materials/Nuclear Engineering or related discipline. • Excellent foundation in materials processing • Hands-on experience with device and system characterization. • Experience in
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from all backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological
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, Water Quality, Water Resources Management, Agriculture, Remote Sensing, Electronics, Artificial Intelligence, Computer Science, Civil Engineering (Structure and Geotechnique), Mechanical Engineering, and
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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disciplines: biology, chemistry, physics, and medicine;-Participation in international conferences and exchange programmes, e.g. STER;-You can prepare yourself to conduct high-profile research at academic
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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-subsaturated air (but where no contrail was formed). Research Associate: Hold a PhD in Aerospace Engineering, Atmospheric Science, Physics, or a closely related discipline*, or equivalent research, industrial
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-performance computing (HPC), Bragg Crystallography facility, and Adelaide Proteomics Centre. Our collaboration with Monash University further extends our access to advanced 300 kV Titan Krios and Helios 5 UX
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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permitting participate in physics performance validation activities. What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research