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literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development
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you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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transcriptomics or proteomics, multiplexed imaging and/or integration of spatial transcriptomics with single-cell RNA-sequencing datasets. Experience from relevant research projects will be considered an advantage
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to process and analyze datasets. The project will combine mechanobiology, spatial omics, quantitative imaging, and computational biology, providing a highly interdisciplinary research environment. MBI and NUS
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-processing workflows for single-photon LiDAR and time-resolved imaging, including event-based or neural-network-assisted approaches for efficient extraction of information from sparse photon measurements, low
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marine vehicle systems for marine survey. We also explore tools for the visualisation, clustering and classification of extensive marine-based image archives, characterisation of change in multi-year
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for developing and using systems to phenotype root systems in greenhouse and field settings under the guidance of research mentors. Build skills in root image processing and other data analysis activities using
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further develop and implement bioinformatic pipelines. For example, using AI we see opportunities to use the genomic data to train datasets for species identification and delimitation, such as image
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, Qualifications & Requirements: Required Qualifications The ideal candidate will hold a PhD in the field of psychology, neuroscience, computer or data science, physics, or physiology with brain imaging experience