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the right place. Skills & Experience A PhD in Environmental, Civil or Chemical Engineering, or a related discipline, and/or relevant work experience. Proven commitment to proactively keeping up to date with
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engineering capability in machine learning while demonstrating the potential and impact of this knowledge for industries in Australia. To be successful you will need: A completed PhD or a submitted PhD thesis
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you will need: 1. A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic
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new drug candidates that can transform AMD management and reduce the treatment burden of intravitreal injections. Some key skills required: A PhD in biomedical sciences, optometry, vision science
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-series data assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective. About you The
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academic staff (with an increasing degree of autonomy) provide informal mentoring and advice to students within discipline (where appropriate) ensure quality, standards and excellence are maintained in any
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conference presentations. provide informal mentoring and guidance to junior team members, including undergraduate and PhD students foster a positive and inclusive workplace culture that values diversity
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and birefringence in low-loss materials and optical coatings; and new IR laser technologies. You will also mentor graduate students and guide their research projects in collaboration with other post
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the supervision of research students (PhD and Honours) and provide technical support across the projects. About you The University values trust, accountability and excellence . As such, we see the importance
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: Lead experimental campaigns to test and verify technologies in both lab and field settings, including co-supervision of student research projects. About you The University values courage and creativity