322 assistant-professor-and-human-centric-computing Fellowship positions in Australia
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committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career
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opportunities. Access to an Employee Assistance Program. Position Requirements Completion of a PHD degree in Electrical Engineering or a closely related field. Demonstrated ability to engage in research areas
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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Overview: Full-time, One-year Fixed Term position (renewable subject to funding availability) Salary Academic Level B + 17% Superannuation and Flexible Working Arrangements Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the...
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world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration. Our culture is one
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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the Child Safety (Prohibited Persons) Act 2016 (SA). How to Apply and Information You are required to submit your CV, and a Suitability Statement of no more than 3 pages, addressing the Key Position
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at the University of Queensland to better measure human muscle, as well as collaborative work on other projects related to neuromechanics and the study of chronic pain. The primary project is geared towards making
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between Sydney, where the CIs are based, and Narrabri, when required. In collaboration with the CIs, PhD students, the Research Assistant, and other members of the research team, the appointee will
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data