Faculty of Business Fee Discount for Alumni and Staff
The Faculty of Business offers discounts to UTAS alumni and staff members who enrol in a Faculty of Business full-fee paying postgraduate course. Discounts offered are 10% for UTAS alumni and 20% for UTAS staff members. Further information is available by clicking on the link below.
Faculty of Business Fee Discount
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Gaza Palestine Taught Postgraduate Scholarship, University of Sheffield, United Kingdom, 12 days ago
Gaza-Palestine Taught Postgraduate Scholarship Applications for 2015 are now open We're pleased to offer a scholarship for one taught postgraduate student from Gaza. The scholarship covers the co...
Ph D Studentship – Ph D In Cancer Immunogenetics, The University of Southampton, United Kingdom, 30 days ago
Biological Sciences Research Location: Highfield Campus Closing Date: Friday 22 May 2015 Interview Date: Reference: 554215BJ PhD Studentship –PhD in cancer immunogenetics PhD Supervisor: Dr Hannah...
Ph D Researcher In Sociology, VU University Amsterdam (VU), Netherlands, 13 days ago
Job posted by AcademicTransfer (08/05/2015 02.45) Marie Curie Actions. More 'HR Excellence in Research' logo awarded to institutions actively implementing the European Charter and Code for Researc...
Catherine King Memorial Bursary, University of the Sunshine Coast, Australia, 21 days ago
The USC experience Undergraduate (my first degree) Postgraduate coursework Research students International students Courses and programs Student support How do I apply? How do I enrol? What will I...
Awards, Christian Brothers University, United States, 7 days ago
The CBU Alumni Association Awards program began in 1974 with the Distinguished Alumnus Award, and was expanded in the mid-80s to include the Service Awards and the Distinguished Young Alumnus Awar...
Two Full Time Ph D Positions In The Field Of Question Answering On Web Of Data, Bonn University / Fraunhofer Institute, Germany, 30 days ago
The successful candidates will carry out research towards a PhD on one of the following topics: (1) Effectively and efficiently supporting dataset maintainers in semi-automatically cleaning and enr...