422 Computer-Science-"https:"-"https:"-"https:"-"IDAEA-CSIC" positions at Monash University
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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Casual Senior Research Officer - Interactive Machine Learning Web Development Job No.: 697404 Location: Clayton campus Employment Type: Casual Duration: 16-weeks Remuneration: HEW 7, $65.09 per hour (loaded casual rate) Amplify your impact at a world top 50 University through innovative...
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computer literacy and the ability to manage a significant file load under pressure while maintaining absolute discretion and ethical standards. About Monash University At Monash , work feels different
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develop team members, and deliver outstanding customer service. You will be a collaborative and proactive professional with sound computer skills, a commitment to safety and compliance, and the ability
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This project focuses on simulating the organic growth of criminal communication networks by leveraging techniques such as Reinforcement Learning and Graph Theory. The goal is to curate a synthetic dataset that models the evolving structure and dynamics of illegal networks, taking into account...
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computational techniques can be combined with classical systems to improve performance, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing
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analytical and problem-solving abilities, advanced computer skills across Microsoft Office and Google Workspace, and experience developing effective administrative processes will be essential. Familiarity with
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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, software architectures, Machine Learning
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the School of Social Sciences. The project will focus on the lived experience and impacts of displacement linked to a community impacted by climate-related disaster. Using primarily qualitative methods