61 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "https:" "PhD Jobs" uni jobs at University of Tasmania
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contact Professor Sean Tracey, Centre Head, Fisheries & Aquaculture/Director, SMRCA, sean.tracey@utas.edu.au or +61 3 6226 8286 Please visit https://www.utas.edu.au/jobs/applying for our guide to applying
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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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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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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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, 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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, including working with multivariate data. Substantial experience in code development and, preferably, experience with Bayesian statistical modelling techniques and software. Willing to develop expert