387 computer-programmer-"U.S"-"U"-"University-of-St"-"U.S" positions at Monash University
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studies as well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only helped encourage my passion to learn, and become a better
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Doctoral Program or as part of a Joint Research Award. The Monash Doctoral Program enhances your research project with advanced training that equips you with the knowledge, skills and abilities needed
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Senior SAP Functional Analyst Job No.: 682382 Location: Clayton campus Employment Type: Full-time Duration: Fixed term until November 2027 Remuneration: A competitive salary package would apply Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be...
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through the education faculty peer mentoring program. I do not take for granted the opportunities that I have been able to pursue thanks to the increased financial stability my scholarship has provided. Am
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Asahi Study Grant Monash Travel Support Grant The Asahi Study Grant is a $6000 travel scholarship created to support students in the University’s Japanese Studies Program to attend a study tour to
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manage multiple priorities effectively, while your computer literacy and experience with financial systems, especially SAP, will support your technical performance. A sound understanding of GST in a
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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educational disadvantage and wish to contribute to the community. You will become a mentor to students from under-represented schools as part of the Access Monash Mentoring Program, giving you the opportunity
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In