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the UNSW Professional Experience Director. Why Your Role Matters As the WIL Administrator (Education) – Targeted, you will play a key role in coordinating and managing the end-to-end placement allocation
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Apply now Job no:532346 Work type:Part Time Location:Sydney, NSW, Other location Categories:Management Employment Type: Part Time (28-hour week) Duration: 31 December 2027 Remuneration: Level 9 from $148,012 full time equivalent + 17% superannuation + leave loading Location: Work from either...
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Apply now Job no:533385 Work type:Full Time Location:Sydney, NSW Categories:Library, Indigenous Employment Type: Full Time (35-hour week) Duration: Fixed Term until May 2026 Remuneration: Level 5 from $88k + 17% superannuation & leave loading Location: Kensington NSW We strongly encourage...
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About the opportunity This is a Targeted Aboriginal and Torres Strait Islander Position. Preference will be given to applicants of Aboriginal and Torres Strait Islander descent. This Exemption is claimed
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Apply now Job no:533294 Work type:Full Time Location:Sydney, NSW Categories:Research Administration support, Research Infrastructure, Indigenous Employment Type: Full-Time (35-hour week) Duration: Fixed Term Contract until June 2027 Remuneration: Level 9 from $143k - $151k + 17% superannuation &...
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Apply now Job no:532959 Work type:Full Time Location:Sydney, NSW Categories:Lecturer About the role Employment Type: Full time – 35 hours per week Duration: Continuing Remuneration: Level B $123K - $145K, plus 17% superannuation and annual leave loading Location: Kensington Campus, New South...
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Research Officer, Targeted Nanomedicines Job No.: 680051 Location: Monash Medical Centre Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $96,768 - $104,450 pa HEW
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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plants they visit and pollinate. Bayesian networks (BNs), and other probabilistic graphical models, can provide a visual representation of the underlying structure of a complex system by representing
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will focus on developing and applying Bayesian statistical models to investigate and predict biofouling patterns to enhance our understanding of how environmental factors and antifouling technologies