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and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 125th globally and 10th in Australia in the QS World University Rankings 2026. To learn more
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enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision
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modelling, multimodal neuro-imaging and physics-informed machine learning to improve assessment of glioblastoma treatment response. The candidate will also be expected to contribute to the formulation and
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Multi-modal Machine Learning-including areas like Neuro-symbolic AI, Knowledge Graphs, Contextual AI, Conversational AI, and Trustworthy & Safe AI. This role also offers the opportunity to explore human
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of our study programs as well as continuing education (industry, DTU’s MBA, …) Teach, guide, and supervise BSc and MSc student projects, as well as supervise PhD students Actively participate in creating a
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to PET image reconstruction. Highly specialized and technical expertise in scientific programming, medical imaging and machine learning methods is required to carry out designated research projects
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research responsibility; however interest in research will be viewed favorably. Lecturer applicants should hold a Master’s degree in Computer Science or Computer Engineering. PhD preferred. Applicants with a
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Full Time Open Date 03/06/2026 Close Date Open Until Filled Yes Days Per Week Weeks Per Year Position Description Primary Purpose and Essential Functions Teach a minimum of 20 units (typically 5 courses
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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learning, discovery and personal growth. The University is accredited by the Southern Association of Colleges and Schools and has earned special accreditation from professional and academic associations