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Field
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period of 3 years. The position is subject to external financing through the RCN funded project "Quantum Oscillator Networks for Optimisation and Machine Learning" (project number 358752). About the
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therapeutics. The experience includes opportunities to learn the operation and upkeep of physiological and cell culture instrumentation, apply quality assurance and quality control practices, and contribute
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interconnected themes. Research Theme 1: Social Acceptance of Vertical Farming The candidate will investigate: Public perceptions of vertical farming technologies. Consumer trust and confidence in controlled
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balance A collaborative, inclusive and purpose-led research environment Access to outstanding research infrastructure and multidisciplinary networks Salary packaging benefits and leave loading Opportunities
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to the transition towards net-zero carbon emissions? The group of Prof. Anqi Wang at KAUST is recruiting several postdocs to join our dynamic team. Our research is highly collaborative and interdisciplinary
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position within a Research Infrastructure? No Offer Description Cybercrime is on the rise: there are ever more different types of criminal offences conducted via digital networked technologies, and the
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candidate will work with open available datasets obtained in rodents and unique datasets of neural activity. Your primary focus will be to design new learning frameworks and neural network architectures
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. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven ecosystems where interconnected multi-agents interact strategically in
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UiB", funded by the Trond Mohn Foundation and the University of Bergen, will serve as a hub for excellence in quantum research and foster new collaboration. The Quantum Oscillator Networks
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scientists, and physicists to understand how biotic/abiotic interactions can be manipulated to control rare-earth element material structures and subsequent magnetic properties. The project will use proteins