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partially observable Markov decision processes (POMDPs). Methods in Ecology and Evolution , 12 (11), 2058-2072.
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our
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people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr
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linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process
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, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need
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Varies See details Bachelor of Engineering (Honours) and Bachelor of Commerce Riley Applying for the scholarship that I have, allowed me to go through a self-reflection process where I've been able
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-aware models and schemes for optimising distribution, storage and processing of tasks and data in each layer.
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operation of the department. This is a varied and collaborative role that supports the Department Heads, senior academic staff and key stakeholders through excellent administration, communication, and
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automatically considered. For current Monash students, apply directly to Monash. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read