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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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of health sociology. A record of research higher degree supervision and completions, relative to opportunity. Demonstrated achievement in University-level teaching and learning across different delivery modes
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modelling of electrochemical systems, together with experience in machine learning and data-driven modelling. Research Associate: Hold a PhD in Aerospace Engineering, Chemistry, or a related discipline, or
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understands different work styles, conflict resolution techniques and demonstrated ability to deal with employees in a positive manner. Learns new technologies quickly and applies this new knowledge to further
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deep insight and interest in investigating the interaction between collaborative learning processes in specific knowledge domains in educational sciences and AI tools and infrastructures. Different types
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to make a meaningful impact by helping members improve their health and well-being while working alongside dedicated professionals in a collaborative environment. Ready to Make a Difference? Apply now and
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learning strategies Ability to assess individual and group learning needs and explain concepts in different ways. Experience working with a diversity of learning styles. Comfortable using technology to
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positive and productive work and learning environment. Engages in continuous learning by participating in activities, training, and events related to Indigenous engagement, reconciliation, equity, diversity
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instruction. Our current grant-funded projects seek to develop and test an expanded math-specific coach training program (M-Powering Teacher Coaching) that uses machine-learning automated feedback and AI
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UiO/Anders Lien 16th October 2026 Languages English English English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat