69 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "P" "P" positions at University of Tasmania
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information about this position, please contact Edwin Torres, Student Jobs and Employability Team Leader on Edwin.Torres@utas.edu.au or 03 62265564. Please visit https://www.utas.edu.au/jobs/applying for our
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research students. Develop and adapt the G-ADOPT code, including application of its adjoint capability, to develop a new three-dimensional model of Antarctic glacial isostatic adjustment with uncertainty
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position, please contact Robin Katersky Barnes, Discipline Leader, STEAM/Senior Teaching Fellow, Robin.Barnes@utas.edu.au Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and
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not need to separately address the success profile. For further information about this position, please contact Dan Elvin, Manager, Student Accommodation, Daniel.Elvin@utas.edu.au Please visit https
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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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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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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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, including working with multivariate data. Substantial experience in code development and, preferably, experience with Bayesian statistical modelling techniques and software. Willing to develop expert