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ultrasound sensors, a technology first pioneered by the University College London Photoacoustic Imaging Group. Their primary areas of investigation will be increasing the performance of Fabry-Perot sensors in
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Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors
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develop electrochemical switchable nanobody sensors that provide ondemand, high-sensitivity detection of proteins directly in culture media over extended periods. The focus will be on microelectrode array
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apply these digital twins and sensors to real-world case studies of novel biologic modalities, evaluating how hybrid PAT–digital twin frameworks can optimise critical quality attributes, reduce
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sensors to real-world case studies of novel biologic modalities, evaluating how hybrid PAT–digital twin frameworks can optimise critical quality attributes, reduce development timelines, and de-risk scale
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practice of sensor development, battery manufacture and testing. You will ideally have experience of battery development including the experimental assessment / characterisation of battery and/or novel
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. Knowledge of sustainability principles and approaches for improving resource efficiency is desirable. Ability to design and implement data acquisition and sensor systems. Competence in programming and data
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large, highly diverse and multi-modal datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet
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automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain
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up experiments with controlled robotic arm and various sensors for understanding the underlying principles on phantom models. You will be a leading researcher in Dr Sharib Ali’s AI in Medicine and