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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
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current avenues for cloud and precipitation observation on the global scale. The Mesoscale Atmospheric Processes Laboratory at Goddard Space Flight Center leads research aimed at algorithm improvements to
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/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: PhD qualification degree in ecology, biogeochemistry, Earth/soil science, environmental science, hydrology
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computer vision techniques to medical imaging datasets. Process and analyze image datasets, including quality scoring and feature extraction. Collaborate with the research team to evaluate algorithm
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structure prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Research Assistant to design and execute independent