82 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Tasmania
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@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For current UTAS staff, in submitting your application, you acknowledge you have
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judgement, and impartiality. Well-developed written and verbal communication skills, with a strong commitment to delivering excellent customer service. Demonstrated commitment to continuous learning and
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, Senior Research Fellow - Wild Fisheries, on John.Keane@utas.edu.au or 0362268264. Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For
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the success profile. For further information about this position, please contact Amanda Philp, Senior Relationship Manager on Amanda.Philp@utas.edu.au or 03 62202438. Please visit https://www.utas.edu.au/jobs
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, please contact Adele Holloway, Dean Learning and Teaching Performance, Health, A.F.Holloway@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details
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to separately address the success profile. For further information about this position, please contact Kirby Hansen, Scholarships Manager on Kirby.Hansen@utas.edu.au or 03 62266822. Please visit https
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6226 4836. Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For current UTAS staff, in submitting your application, you acknowledge
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. For further information about this position, please contact Nigel Swarts, Principal Research Fellow at: nigel.swarts@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and
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machine learning to create improved reconstructions of the ice sheet. This role is based in Hobart, Tasmania and visa sponsorship and relocation allowances may be considered for the right candidate. What
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higher degree students. What we’re looking for: A postgraduate qualification (Masters, PhD or equivalent) in a relevant field. Experience in University-level teaching and learning. Clinical/industry