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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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classification and individual recognition, the project may investigate the possibility to use advanced machine learning for the identification of individual-level and group-level behaviours. Data fusion with
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Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in many real-life applications, including face recognition, automatic
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species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data
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methods dealing with model complexity - e.g., AIC, BIC, MDL, MML - can enhance deep learning. References: D. L. Dowe (2008a), "Foreword re C. S. Wallace ", Computer Journal , Vol. 51, No. 5 (Sept. 2008
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noting that techniques like Data Science and Machine Learning (ML) have been increasingly applied in analyzing the unprecedented amount of data collected by these platforms and systems, e.g., using
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Honors or Masters degree including substantial research project, GPA 80%+ from a reputed university Refereed publications including journal or conference of high repute Desirable Background in Machine
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Background in Machine Learning, Algorithms and Data Structures
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In this project, we will use machine learning methods to diagnose the health status of bee colonies and individual bees. Bee populations are threatened worldwide due to a number of factors
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distributions. We wish to represent the biological networks into proper formats, e.g., vector representations, so that existing machine learning algorithms (e.g., support vector machines) can readily be used