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Field
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solvers • Implementing and analysing online optimisation algorithms for real-time grid balancing • Liaising with project partners (NESO and University of Strathclyde) Essential selection
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). Understanding of IoT integration, metering protocols (Modbus, MQTT), and DER operations. Knowledge of cryptography, consensus algorithms, and security best practices. Prior experience in energy markets
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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/sigcom In addition, SIGCOM hosts the following experimental facilities: 6GSpaceLab: Real-world validation of advanced communication algorithms CommLab: Real-time wireless testbeds for DSP in satellite and
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genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption of the methods. The project is carried out in close
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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
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The undergraduate research assistant will support a faculty-led research project examining how algorithmically generated student groups influence compatibility, stigma reduction, and interaction quality in first-year
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a commensurate technical discipline , you will also Possess sufficient specialist knowledge and interest in statistical machine learning, deep learning, large language models, and algorithmic
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand disease