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virology and cell-based experiments, including immunological and functional assays. Conduct metagenomic and evolutionary analyses. Develop and apply bioinformatics and Al-based tools for data analysis and
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optimisation, algorithm design and high-performance computing, with application to airport innovation. Successful candidates will join an active group of Principal Investigators and researchers to work within
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under
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exploration and relevant disciplinaries Key Responsibilities: Develop novel imaging algorithms and validate them through synthetic experiments Extend these methods to real-world experiments to address practical
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locomotion. Key Responsibilities: The successful candidate will: develop locomotion and local motion control algorithms for humanoid robots, implement learning-based and/or model-based control methods (e.g
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algorithms using LWIR (thermal) imaging for UAVs operating under degraded visual conditions, such as low illumination, smoke, fog, and texture-sparse environments. The Research Engineer will design and
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Odometry (LIO), Visual-Inertial Odometry (VIO), and multi-sensor fusion for UAVs and other agile platforms. The Research Fellow will develop high-performance, robust estimation algorithms that operate
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tools (e.g. Power BI, Tableau or Qlik Sense) Experience in applying machine learning techniques and designing algorithms that are scalable and production-grade. Knowledge of database, ETL and data API
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real