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processes. This project focuses on designing and optimizing novel materials that enhance the efficiency and effectiveness of converting biomass into valuable products such as biofuels and fine chemicals. We
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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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the optimally energy efficient switching regime, avoiding the localised heating that plagues current energy assisted data storage schemes. We will explore experimentally and theoretically manipulation of magnetic
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recovery strategies for emerging solar technologies. Working in state-of-the-art laboratories, you will design experiments, optimize processing conditions, characterize materials, and collaborate with
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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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organizations, or government agencies on energy or infrastructure issues. Background in digital twin platforms, cyber-physical systems, or energy system modeling and optimization. Familiarity with large-scale
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: Development and application of AI and machine learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental
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, and energy efficiency will be performed to optimize desalination processes for regional sustainability. The successful applicant will oversee projects, develop extensive technical expertise, and
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and GPU-accelerated tools for circuit and system design optimization, addressing challenges in physical design, timing analysis, and large-scale hardware design automation. The researcher will
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and human inner-ear organoid systems. Design, optimize, and evaluate gene therapy strategies, including AAV vector engineering and delivery approaches. Collect, manage, and interpret experimental