62 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at University of Tasmania
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position, please contact Georgie Sertori, School Business Manager, Georgina.Sertori@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment
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, jane.skalicky@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
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Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. Please refer to the attached Position Description Below for full details. Position
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Natasha Stevens, Program Manager, MS Research Flagship, Natasha.Stevens@utas.edu.au 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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will work within the Centre for Ore Deposit and Earth Sciences (CODES) within the School of Natural Sciences. The successful candidate will be responsible for preparing geological (rock and sediment) and
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the success profile. For further information about this position, please contact Kieran Perry, Head of Sport: email Kieran.Perry@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying for our guide
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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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, Coordinator, Student Development & Support MBBS, on Fiona.Cocker@utas.edu.au or 03 62266930. Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process
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-Daly, grace.bennettdaly@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
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, including working with multivariate data. Substantial experience in code development and, preferably, experience with Bayesian statistical modelling techniques and software. Willing to develop expert