Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
be tax exempt, subject to Taxation Office approval. International applicants should be aware that the cost of mandatory Overseas Student Health Cover is not provided by this scholarship. Available
-
to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
-
Tennakoon at ruwan.tennakoon@rmit.edu.au with the following information. Cover letter outlining interest and alignment with the proposed research. CV (including the names of two referees). Copy of Bachelor's
-
statistical competence in quantitative methods. They will have a demonstrated ability to work independently and to appropriately manage sensitive and confidential information. Responsibilities may include
-
. To email your CV and cover letter or for more information please contact, A/Prof Paige Little , Research Director, QUT Biomechanics and Spine Research Group. About the scholarship The Clayton Adam Florence
-
-Kowollik . Your application must include: a cover letter including your motivation for applying an up-to-date curriculum vitae (CV) full academic transcript two detailed letters of reference (including one
-
contain the following information: A one-page cover letter briefly outlining your interest in the project Evidence of research ability: a digital copy of a Masters or Honours thesis; and a digital copy of
-
distributed systems/applications will be preferred. To apply, please submit the following documents to Dr Hai Dong. Expressions of interest should contain the following information: A one-page cover letter
-
to undertake research and development activities in the areas identified below: State level climate vulnerability assessment for SA Aquatic Ecosystems (climate change/water) Analysis of rainfall data to identify
-
Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply