336 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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sampling missions design of machine learning systems for real-time obstacle detection, terrain analysis, and environmental adaptation in extreme environments implementation of multi-constraint optimisation
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‘researcher’s journey’ program that exposes our Fellows to world leading researchers, mentoring, connections with Australia’s learned academies and more. Partner Universities The Fellowships can be held at any
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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learning materials, mark assessments, and supervise student projects. The role includes mentoring students, supporting research staff, and contributing to School operations and outreach initiatives
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 8 days ago
publications and fostering national collaborations. They may assist in course delivery, prepare online learning materials, mark assessments, and supervise student projects. The role includes mentoring students
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of leaders and innovators with the skill, commitment, and vision to protect vulnerable communities and truly advance health outcomes. It is at the heart of everything we do. About the Role Flinders
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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record of computer programming. Experience in numerical relativity and/or numerical simulation of quantum field-detector interaction Strong written and oral communication skills. Demonstrated ability
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to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig