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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
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extensive knowledge of robotic navigation, machine learning or other relevant fields experience working with marine robotic systems or the data they collect, including inertial, acoustic, visual and
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and/or instrument control code, leveraging advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class
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are seeking a Lecturer (Level A/B) with expertise in Exercise and Sport Science. The successful candidate will make a substantial contribution to teaching and learning through the delivery, design, and
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
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responsibility for teaching courses in new and existing curricula at the undergraduate and postgraduate level under the broad theme of igneous petrology. The applicant will be expected to teach fundamental and
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. The position has responsibility for teaching courses in new and existing curricula at the undergraduate and postgraduate level under the broad theme of economic geology. The applicant will be expected to teach
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at the undergraduate and postgraduate level under the broad theme of economic geology. The applicant will be expected to teach fundamental and advanced concepts in geology effectively in the classroom, field and
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and postgraduate level under the broad theme of igneous petrology. The applicant will be expected to teach fundamental and advanced concepts in geology effectively in the classroom, field and laboratory
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staff position within a Research Infrastructure? No Offer Description T1-4 Special Skills Placement for the Australasian College of Emergency Medicine (ACEM) with an opportunity to work and teach in