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translate complex mission briefs and regulations into rigorous, traceable, regulator-ready requirements. The candidate will join an interdisciplinary community at Monash University spanning computing, systems
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to the programmer to quickly resolve type errors and support there understanding and propagation of types throughout their program.
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privacy-enhancing techniques such as secure multi-party computation, homomorphic encryption, differential privacy, and trusted execution to design algorithms and protocols to secure ML models within
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research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum materials Quantum energy
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distributions, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon...
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for assisting with program delivery in collaboration with student leaders and faculty representatives, project scoping and identifying deliverables; and monitoring, evaluating and reporting on program and project
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of Women’s Health program outcomes through a range of laboratory and technical activities, including sample preparation, cell and tissue culture and performing assays such as qRT-PCR, immunoblotting
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. Excellent interpersonal and communication abilities. High-level computer literacy and database management. Discretion, tact, and a commitment to confidentiality. This is your opportunity to play a key role in