107 coding-theory-"Multiple"-"Humboldt-Stiftung-Foundation" positions at Monash University in Australia
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candidates whose work complements and enhances the activities of our Quantum Light, Information, Matter and Electronics (QLIME) group. As part of the vibrant and collaborative QLIME team—spanning both theory
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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competing deadlines and are confident managing multiple tasks – from planning stakeholder workshops and coordinating data collection, to preparing research reports and ethics submissions – and you take pride
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and
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skills, coupled with well-developed planning and organisational abilities to manage multiple priorities effectively. Exceptional written and verbal communication skills, strict adherence to confidentiality
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as a learning designer and develop themselves to be able to teach across these areas as needed. Topics may range from design methodologies, learning and motivation theory, ethics and law, design and
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deep learning theory, Bayesian statistics, and generative modelling, this work will advance our understanding of both the capabilities and vulnerabilities of modern AI systems. This will have potential
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prioritisation whilst working independently and as part of the team. It would suit applicants who can manage multiple tasks with confidence. About Monash University At Monash , work feels different. There’s a
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manage multiple priorities effectively, while your computer literacy and experience with financial systems, especially SAP, will support your technical performance. A sound understanding of GST in a
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experience in at least one of the following would be highly regarded: (i) the theory and simulation of scattering, diffraction and imaging with high energy electrons or X-rays; (ii) solving inverse scattering