19 quantum-"https:"-"https:"-"https:"-"CEA-Saclay" positions at Monash University in Australia
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Overview This project proposes a novel quantum-enhanced learning analytics framework for higher education, focusing on early identification of at-risk students and optimisation of intervention
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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full
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Lecturer/Senior Lecturer – Theoretical Quantum Physics Job No.: 685904 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $118,974 - $141,283 pa Level
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My research focuses on strongly interacting quantum systems at the interface between condensed matter physics and ultracold atomic gases. In particular, I am interested in the interplay between few
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Jets" "Strings in Quantum Chromodynamics" "Topics in Heavy-Quark Physics" (with Prof Ulrik Egede) List of Past Projects I have supervised (3rd-year, honours, and PhD). web page For further details
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My work focuses on experimental research in quantum sensing and quantum microscopy using the nitrogen-vacancy (NV) centre in diamond. In particular, we are interested in applying quantum sensing
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insulators and Weyl semimetals. The former favours quantum states of matter (e.g. excitonic superfluidity, quantum magnetism, superconductivity), while the latter makes their optical and transport properties
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My research focuses on the theory of strongly correlated phenomena in cold atomic gases and electron systems. Particular topics of interest include low-dimensional quantum systems, superconductivity
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research strengths and initiate an application, all in one place. Browse Research projects Honours and Masters project Supervisors Login Recently added Quantum-Enhanced Learning Analytics for Adaptive Early