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theoretical foundations of distributed quantum computing . Our long-term objective is to understand which distributed tasks admit a quantum advantage, especially in the context of the LOCAL model of distributed
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datasets of diverse real and generated speech and audio, including content from different generative models and multiple watermarking methods. Adapting and improving detector baselines for multi-objective
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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policy and/or land policy Strong academic writing skills and a clear track record or potential to publish in leading journals Experience with qualitative research (policy analysis, interviews, comparative
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or prospective LCAs. Ability to perform mass/energy balances bio-based processes. A solid track record of publishing research in peer-reviewed scientific journals. Exceptional analytical and critical thinking
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different specific requirements, but we are generally interested in candidates with following merits: Track record of scientific publications; Prior experience with high-performance computing (HPC) systems