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This project develops quantum-AI tools to optimise urban hydroponic food systems and evaluate their therapeutic impact on student well-being. The expected outcome is to create quantum-reinforced AI
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-robot testing. Work could involve new algorithms, reasoning pipelines, foundation model evaluation, benchmarks, platform integration and practical deployment limits. It suits candidates interested in
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fabrication facilities as well as high performance computing (HPC) facilities at QUT. PhD2: Pore-network modelling of reactive transport As a PhD student, you will develop efficient pore-network modelling
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nuclear and particle physics research leveraging machine learning and AI for data analysis and detector development, as well as exploratory work in quantum algorithms, depending on background and interests
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
infrastructures such as IPFS (https://ipfs.io/ ) and Matrix (https://matrix.org/ ) on which we can plug replication mechanisms for file system synchronisation. Data replication algorithms have to be reliable (i.e
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how a tumour responds to therapy across biological scales, are both betting that structure beats brute scale. In this PhD you will develop mechanism-informed world models: models that do not merely
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contributions to major societal challenges. It has developed integrated expertise in materials synthesis... Department: Physics Work Locations: Number of offers: 1, France, Lyon 1 University, Lyon, 69100 Research
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active damping. The UAntwerp group operates a dedicated LVDT characterization setup, has developed a prototype "Corecoil LVDT", and has recently received a MIGA-derived GAS filter that will be developed
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Science, Artificial Intelligence, or a related field be ranked within the top 10% of their class at MSc and BSc level, with outstanding study results have a strong background in ML algorithms, with programming
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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first