999 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs in Singapore
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Science, is in the advanced stages of planning. Further information about the two departments, both of which are placed in the global top 10 (QS WUR by Subject 2025) is available at https://fass.nus.edu.sg/geog
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state-of-the-art behavioral research lab and extensive industry contacts. Find more information about the marketing group at https://business.smu.edu.sg/disciplines/marketing/faculty . About SMU and the
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modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension
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implementation of data-driven computer vision and machine learning models using sensor data, camera feedback, and process parameters for print and tool path planning and process optimisation. Deploy real-time
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intelligence, machine learning, pattern recognition, and digital image processing, particularly in biomedical or histopathology applications. Hands-on experience in designing and implementing deep learning
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Science of Learning research team in developing brain-based machine-learning predictive models for early identification of mathematical learning difficulties in kindergarten and early primary level students
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, machine learning, pattern recognition, and digital image processing, particularly for biomedical or histopathology applications. Demonstrated ability to design, implement, and optimise numerical and
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and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design, aimed at developing
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developers, and AI researchers to translate findings into operational use cases. Prepare data collection frameworks and work on fish health monitoring datasets for machine learning training and benchmarking
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innovation. The Platforms Engineering Group builds and operates the infrastructure and systems that enable AI practitioners across AISG's programmes to develop, train, and deploy machine learning models