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the appointment. The candidates should have a strong track record in at least one of the group’s research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning
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utilising applied economics and statistical methods such as structural modelling, causal inference, or machine learning techniques; and (ii) are open-minded and committed to teaching excellence at both
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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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science and machine learning. There are currently 51 academic staff and about 154 research personnel in the Department. Please visit the website at http://www.polyu.edu.hk/ama for more information about