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, Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, successful experience (academic or professional) programming in algorithm level languages such as Matlab/Simulink, Python
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Visual Search and Video Analytics related work, such as object detection, visual object inspection . Creation of large-scale datasets for research and algorithm evaluation Be part of a research team in
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, or Computer Science. Reference Yang X, et al: Analytical Chemistry 86(13): 6393-6400, 2014 Keywords Mass spectrometry; Data analysis; Algorithm; Clustering; MS/MS; Proteomics; Metabolomics
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omics, metabolomics, and immunopeptidomics. The successful candidate will pioneer assay-algorithm co design, demonstrate cross disciplinary leadership and lead reproducible & open science B - AI in
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traditional tools. This project introduces ML methods in the traditional CFD framework to speed up the turn-around computational time and scalability of the SIMPLE algorithm. The objectives to achieve
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Scaling analog in-memory computing towards large generative AI models H/F Subject Your work will span device-to-algorithm co-design, focusing on state-of-the-art small language model engineering and
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omics, metabolomics, and immunopeptidomics. The successful candidate will pioneer assay-algorithm co design , demonstrate cross disciplinary leadership and lead r eproducible & open science B - AI in
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omics, metabolomics, and immunopeptidomics. The successful candidate will pioneer assay-algorithm co design, demonstrate cross disciplinary leadership and lead reproducible & open science B - AI in
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. Focus areas include: Post-Quantum Cryptography (PQC) – algorithm design, implementation, and migration Quantum Key Distribution (QKD) – system integration, deployment, and network operations Hybrid PQC
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(HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling algorithm that allows accurate simulation of fluid