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project is to use discrete optimisation techniques (e.g. Integer Programming) to design new algorithms for MAPF. An example of previous research in this direction was published in IJCAI. Required knowledge
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project is to use discrete optimisation techniques (e.g. Integer Programming) to design new algorithms for MAPF. An example of previous research in this direction was published in IJCAI. Required knowledge
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programming background with fundamentals in machine learning and data science. Experience in building visualisations and interactive immersive environments (using game engines like Unity3D) is
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Primary supervisor Jesmin Nahar Co-supervisors Anyone from the Faculty who is interested. Research area Data Science and Artificial Intelligence Background Cardiovascular disease is a major global
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Primary supervisor Jesmin Nahar Co-supervisors Anyone from the Faculty who is interested. Research area Data Science and Artificial Intelligence Background Cardiovascular disease is a major global
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leads to ambiguous generation, as different molecules can yield similar fragmentation patterns. There is a critical need for generative frameworks that can learn from limited data by intelligently
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leads to ambiguous generation, as different molecules can yield similar fragmentation patterns. There is a critical need for generative frameworks that can learn from limited data by intelligently
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Biomaterials for Antibiotic Potentiation. This exciting project will be within the Biomedical Nanoengineering Laboratory (Flinders Health and Medical Research Institute, FHMRI) under the principal
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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strong interest in environmental modelling, artificial intelligence, and real‑world impact. A background in one or more of the following: machine learning, data science, environmental engineering