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computational expertise in mathematics, statistics and computing with applications in materials science, power engineering, quantum physics, signal processing, astronomy, industrial optimisation and data science
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assess your suitability for this role. To view a copy of the Position Description, please copy and paste the following link into your web browser. https://tinyurl.com/3vpm97wr Selection Criteria PhD in
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degree in Medicine, with APHRA registration (highly desirable). PhD or Clinical Fellowship qualifications are highly desirable. Demonstrated excellence in teaching and learning, with a reflective and
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of clinical competence. Identify and address staff development needs within the PAL domain Our ideal candidate will have: A degree in Medicine with APHRA registration (highly desirable). PhD or Clinical
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candidate will have: A degree in Medicine, with APHRA registration. PhD or Clinical Fellowship, legal or bioethics qualifications (highly desirable). Demonstrated experience in medical education with a focus
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the selection criteria (noted below) to allow us to assess your suitability for this role. Essential Criteria: PhD degree by research qualification in a relevant discipline (e.g. electrical/electronic engineering
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. To be successful you will have: A degree in Medicine with APHRA registration (highly desirable). PhD or Clinical Fellowship (highly desirable). Proven high level teaching skills with a demonstrated
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part time, 0.5 FTE or more) Be a teaching academic with experience teaching at least two terms in the last two years within higher education in Australia Have been awarded or submitted a PhD (if a PhD is
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): We seek a Medicare-endorsed midwife with a PhD to fill this role. This role will see you teach specialised units within our Graduate Certificate in Midwifery Screening, Diagnostics, & Prescribing
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teaching experience or lab demonstration skills. Candidates are required to hold a PhD in Metallurgical Engineering, Chemical Engineering, Chemistry, Applied Chemistry, Materials Science or related field