10 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-";" positions at Monash University
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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering
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computational project. To do this project you would need to apply for a Monash Scholarship. Required knowledge A decent theoretical background in physics, computer science, mathematics, engineering
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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knowledge Applicants should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred computing/ computer science, engineering, social
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Australia and Monash University Malaysia. Required knowledge IELTS (7.0 or equivalent) Masters or honours degree in computer science or software engineering Very strong software development skills Project
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Australia and Monash University Malaysia. Required knowledge IELTS (7.0 or equivalent) Masters or honours degree in computer science or software engineering Very strong software development skills Project
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computer software and can be used as decision support systems (DSS). These may be used by decision-makers with different domains of expertise than the analysts who built the DSS system. Therefore
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computer software and can be used as decision support systems (DSS). These may be used by decision-makers with different domains of expertise than the analysts who built the DSS system. Therefore