42 phd-computational-"FEMTO-ST"-"FEMTO-ST" positions at University of Tasmania in Australia
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the University’s mission Develops content that sparks conversation and inspires curiosity within our community Full-time, fixed-term position until October 2026, based in Hobart About the opportunity The Program
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the University’s mission Develops content that sparks conversation and inspires curiosity within our community Full-time, fixed-term position until October 2026, based in Hobart About the opportunity The Program
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medical education Promote and maintain a strong Safety and Wellbeing culture within the Medicine Program Ongoing, full-time position based in Tasmania About the opportunity This newly created Statewide
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Aboriginal students through career support and mentoring Coordinate employment program operations, job matching, and onboarding Promote meaningful Aboriginal inclusion in higher education workplaces
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Apply now Job no:501472 Work type:Part time Location:Launceston Categories:Teaching Intensive Deliver, co-ordinate and oversee teaching and assessment in the Tasmanian Medicine Program Lead
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active research group with strong national and international linkages and contribute to, and help develop, a distinctive undergraduate and postgraduate teaching program in IMAS on Antarctic and oceans law
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proactively to ACCESS-NRI strategic objectives. What we’re looking for: A PhD (or near completion) in glaciology, oceanography, computational modelling, climate sciences, software engineering, or a closely
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Apply now Job no:501434 Work type:Full time Location:Hobart Categories:Research Focused Contribute to the Australian Antarctic Program Partnership (AAPP) Conduct research on Antarctic krill through
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programs Deliver high-quality face-to-face, blended, and online teaching Mentor students, including higher degree research candidates Contribute to the school’s research program, advancing your research
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. Collaborative team player, comfortable working with PhDs, researchers, and programmers Expertise in ocean salinity (and its relation to the Earth’s water cycle), and coupled climate modelling Full-time, 4.5-year