390 machine-learning "Faculty of Earth Sciences, Geography and Astronomy" positions at Monash University
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Research Fellow in Automation and Machine-Learning in Polymer Synthesis Job No.: 665101 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration
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This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in scenarios involving sensitive or confidential data
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Online Learning Systems Coordinator Job No.: 662847 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $100,173 - $109,871 pa HEW Level 07
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as a consequence of other desiderata. In the context of machine learning, many approaches propose to learn simple models since judicious simplicity can lead to good predictions [3,1]. These approaches
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Lecturer in Learning and Teaching Job No.: 664278 Location: Clayton or Peninsula campuses Employment Type: Full-time Duration: Continuing appointment Remuneration: $111,603 - $132,529 pa Level B
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Information Technology Industry-Based Learning Placement Grant This grant is awarded to high achieving students in the Faculty of Information Technology who undertake a 22 week placement with
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Computer Science and/or Chemical Engineering or equivalent; 2) Excellent mathematical and programming skills, in particular in the areas of Artificial Intelligence (AI) and machine learning including deep learning
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. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His
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Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in many scenarios, including security, privacy, and health
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, sociological, economic and web data this project will apply machine learning to build a recommendation engine that can provide life advice and predictions to individuals based on their current life situation and