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conditions. Aim 2: Development of Computational Methods for MML Design and implement efficient algorithms for computing MML solutions beyond the one-dimensional case. Extend existing dynamic programming
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ensembles of diverse opponents.” Neural Computing and Applications (2025). https://doi.org/10.1007/s00521-024-10511-9 de Arruda, H. F., Gracia-Lázaro, C., Aleta, A. and Moreno, Y. “Collective
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ensembles of diverse opponents.” Neural Computing and Applications (2025). https://doi.org/10.1007/s00521-024-10511-9 de Arruda, H. F., Gracia-Lázaro, C., Aleta, A. and Moreno, Y. “Collective
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of the technology, participant demographics, visualisation) of interest to them. Required knowledge Essential: First class Honours Degree in Computing Science or Psychology Desirable: Experience in
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an applicable computing discipline should contact me by email at [email protected]. Curriculum vitae, references and an academic transcript of results are to be presented on request. For PhD
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scientific computing libraries (e.g., NumPy, SciPy) and visualization tools (e.g., Matplotlib, Seaborn). 4. Knowledge of MRI Physics and Acquisition Principles (optional but advantageous) : Basic
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quantum computing concepts (no prior experience required) Familiarity with mathematics (linear algebra, probability) is advantageous Learn more about minimum entry requirements .
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Primary supervisor Roberto Martinez-Maldonado Research area Human-Centred Computing I am seeking PhD candidates interested in working on designing Learning Analytics or similar reflection
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quantum computing concepts (no prior experience required) Familiarity with mathematics (linear algebra, probability) is advantageous Learn more about minimum entry requirements .
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Primary supervisor Kim Marriott Research area Human-Centred Computing The Monash Assistive Technology and Society (MATS) Centre helps people living with disabilities to lead self-directed lives