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gases" "Ultrafast dynamics of quantum matter" "Interactions between strongly coupled light-matter quasiparticles" "Atomically thin materials coupled to light" "Periodically driven many-body systems" web
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mechanisms governing invasion machinery development in Cryptosporidium while the other will focus on different aspects in Plasmodium falciparum and P. knowlesi malaria parasites. Both roles will include in
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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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Foundation Program including specialist training and development, and the opportunity to undertake a 12-month industry placement. Eligibility You need to meet the entry requirements for QUT's Doctor
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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recycling: Project 1 (2 PhD students): Cost-Efficient Direct Recycling for Metal Oxide Cathode Materials – These projects focus on developing low-cost, scalable strategies for the direct recycling and
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Doctoral Program or as part of a Joint Research Award. The Monash Doctoral Program enhances your research project with advanced training that equips you with the knowledge, skills and abilities needed
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nanomaterials" (with Prof Nikhil Medhekar) "Ultrafast charge dynamics in photoactive materials" "Artificial-intelligence-controlled atom-by-atom synthesis of functional organic nanomaterials" web page For further
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strategic plan working with students, industry, and other stakeholders to make a difference. An internship may be available for this project. The candidate will work with an established research team and
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). "Statistical field theory applied to complex networks” "Quantum geometrogenesis – Graph theoretic approaches to building spacetime” web page For further details or to discuss alternative project arrangements