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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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to deliver industry-relevant tools that enable optimal design and operation of hydrogen technologies in real-world application. The successful candidate will work at the intersection of multi-disciplinary
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studies within the hydrogen research hub (HI-ACT) funded by EPSRC. The project seeks to deliver industry-relevant tools that enable optimal design and operation of hydrogen technologies in real-world
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flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process development in the cleanroom Assemble and use custom test
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through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI's development, operation, and use. This framework enables stakeholders
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identified in other WPs. The model construction will be informed by qualitative and quantitative knowledge of supply chain processes through dialogue with stakeholders, and model parameters will be estimated
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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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challenge, making energy-efficient computing a critical research priority. This project addresses this challenge through a novel co-design approach that simultaneously optimizes both hardware and software
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research hub (HI-ACT) funded by EPSRC. The project seeks to deliver industry-relevant tools that enable optimal design and operation of hydrogen technologies in real-world application. The successful