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tools. In this role, you will mainly focus on strengthening our computational pipeline: integrating multiple standalone machine‑learning predictors into a unified, multi‑objective framework capable
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at industry-facing events. Strong technical and scientific knowledge in machine learning, preferably with experience in large language models (LLMs). Solid foundations in mathematics and engineering
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intelligence; can present at national and international conferences; and prepare manuscripts as first or joint author for submission to leading journals and conferences in machine learning, cancer research and
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the environment of a large international science collaboration Familiarity with machine learning techniques For a full list see the job description The opportunity to continue your career at a world-leading
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Transport Systems Laboratory, equipped with cutting-edge technology that supports research in autonomous transport, decarbonisation, machine learning, travel behaviour, air transport management, and transport
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understanding of: Signal processing algorithms, Security and Privacy Antennas and RF sensing Machine learning for communications systems Integrated Sensing and Communications You will enjoy adventure in research
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and computer-intensive resources. Performance Optimization: Continuously monitor and optimize the performance of both internal and cloud-based systems, implementing best practices for resource
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interest in research. Demonstrated ability to plan, conduct, and analyse clinical research independently. Proficiency or willingness to develop skills in bioinformatics, data analysis, and machine learning
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.). Besides these research-focused areas, we expect the successful candidate to be able to contribute to our teaching portfolio within e.g., data science, machine learning, IoT, computing, etc. We additionally
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expected to initiate and expand research collaborations with colleagues at the School, at Imperial College London, and beyond. Teaching – The Dyson School of Design Engineering provides exceptional learning