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causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be
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acid quantification and molecular analysis, including troubleshooting Demonstrated experience with aptamer technologies or nucleic acid-based molecular recognition systems. Strong laboratory skills in
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systems, and task-specific automation modules. Develop 3D CAD models, fabrication drawings, Bills of Materials (BOMs), and technical documentation using SolidWorks. Perform mechanical design analysis and
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, imaging analysis, and laboratory investigation in a multidisciplinary academic environment. The successful candidate will support a funded research project that aims to generate clinically relevant insights
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: Information Security: Mobile security, cyber-physical systems, security analytics, digital forensics, malware analysis, vulnerability assessment, privacy technologies, and AI security. Computer Science and
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design. Good knowledge in reliability analysis. Strong knowledge of HV and LV power systems and protection Experience with power system analysis tools Strong safety mindset and clear technical
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, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models
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printing, automation, supply chain security, digital twins, and block chains. Hands on experience in commercial digital supply chain solutioning projects with both hardware and software elements. Experience
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develop advanced predictive maintenance solutions involving sensor integration, high-speed data acquisition, electrical and vibration signal analysis, anomaly detection, and health analytics for marine
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, as necessary. Perform computational modelling and analysis of the neuroimaging and behavioural data, with guidance from senior colleagues as required. Provide ready access to all experimental data