573 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at Monash University in Australia
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operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
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Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 688022 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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enjoy my learning experience in the Monash Engineering program. Am I eligible? You must be one of the following: An International student You must meet the following criteria: A commencing student
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This scholarship opportunity is open to domestic applicants who identify as Aboriginal or Torres Strait Islander. More information about the opportunity can be found here: https
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) IELTS 7.0 (no band < 6.5) Peer-reviewed publications (preferred) Why Join Us? Work in a supportive, collaborative research environment Access cutting-edge forensic science facilities Supervision from
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surrounded by extraordinary ideas - and the people who discover them The Opportunity The Faculty of Engineering – Joint Departments of Electrical & Computer Systems Engineering and Mechanical & Aerospace
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Immersive Visualization of Protein Structures in Food Science Using VR/AR Primary supervisor Wai Peng
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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment