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established objectives, milestones and deliverables. You will play a key role in supporting the delivery of a multi-faceted program, providing proactive administrative and project coordination. This includes
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symposia, school-engagement exercises, and future grant applications. Candidate Requirements The successful applicant will have a strong academic track record in the Social Sciences and/or Humanities. Pre
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& Experience PhD in material science and engineering, chemical engineering, biomedical engineering, or nanotechnology-related area. Demonstrated track record of publications and conference presentation in
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foundations in applied mathematics, computer vision and machine learning, particularly object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries
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object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with dataset preparation, training
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. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications and conference presentations relative
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. About You (Key Selection Criteria) Proven track record in delivering commercial objectives, ideally within the ICT sectors are preferred, with added value from contract management experience. Strong
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: Demonstrate a proven track record of effective HDR supervision and actively facilitate student engagement opportunities, including workshops, collaborations, and professional development initiatives
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embed a consistent and transparent stakeholder engagement model across UNSW IT and broader UNSW. Foster a culture of value-centric decision-making, where IT initiatives are assessed and tracked based
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knowledge of HSE legislation, codes of practice and standards. Proven ability to coach, influence and build trusted relationships that promote a positive HSE culture aligned with organisational objectives