107 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Monash University
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checks required for the role, as determined by the University. Enquiries: Dr Jane Holden, Chief Operating Officer, Australian Research Council (ARC) Centre of Excellence for the Elimination of Violence
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. Enquiries: Dr Jane Holden, Chief Operating Officer, Australian Research Council (ARC) Centre of Excellence for the Elimination of Violence against Women (CEVAW), jane.holden@monash.edu Position Description
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by the University. Enquiries: Dr Jane Holden, Chief Operating Officer, Australian Research Council (ARC) Centre of Excellence for the Elimination of Violence against Women (CEVAW), jane.holden
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Louisa Picco, Research Fellow, +61
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-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Thomas Tapmeier, Head, Uterine Biology & Gynaecological Disease Group, +61 3 8572 2386 Position
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candidate will have demonstrated experience in student admissions for universities or TAFEs, with knowledge of educational systems, visa regulations, and national codes. They will possess strong
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the University. Enquiries: Dr Yuxiang Wu, Materials Science & Engineering, yuxiang.wu@monash.ed Position Description: Research Fellow Applications Close: Sunday 22 February 2026, 11:55pm AEDT Supporting a diverse
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qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will require use of advanced quantitative
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Dr Christine Findlay, General Manager
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based