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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize
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preparation protocol optimized for low-quality DNA extracted from fuel samples. The initial appointment is for three months, with potential for extension based on funding availability. Key Responsibilities
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We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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fundamentally new communications and computing capabilities. Role This post focuses on developing protocols and methodologies aimed at: Efficiently routing entanglement in quantum networks Optimizing quantum
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development, human-computer interaction, data analytics, user experience design, remote monitoring systems, energy optimization algorithms, and environmental impact modeling. Human-centric AI-driven sanitation
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units that are funded by the Horizon Europe Programme. The consortium team will develop an advanced Multi-Processor System on Chip prototype in FD-SOI 28nm CMOS technology that tightly integrates
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Solutions, you will apply your methods in detailed simulation studies using Imperial’s high-performance computing facilities, assessing performance in realistic scenarios. You will regularly present your
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. At the same time, 20-50% of industrial energy is ultimately lost as waste heat. With the rising demand for computing power, data centers are producing increasing amounts of low-grade waste heat. Likewise, as
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine