20 phd-position-in-image-processing-"University-of-Exeter" Fellowship positions at RMIT University
Sort by
Refine Your Search
-
.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
-
in relevant field. Candidates who are studying towards their PhD may be considered for Level A. Please Note: Appointment to this position is subject to passing a Working with Children and National
-
are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
-
performing other duties that support the efficient operation of the research team. Mandatory: PhD or equivalent in electrical and electronic engineering and/or applied mathematics, in particular, in one
-
position at RMIT Vietnam in The Business School, you will need to be able to meet the following research criteria. For candidates with a PhD awarded within the last 3 years (Early Career Academic), although
-
in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
-
processes, please contact Jennifer Pham, Senior Talent Acquisition Advisor via email at jennifer.pham2@rmit.edu.au Please do not share your application to this email address. Position Description
-
other groups within the School and Research Institutes. The Research Fellow is required to undertake research activities in line with the University’s research strategy. The position will carry out
-
Australian work rights at the time of application, upon commencement, and through the completion of the contract. Evidence of work rights may be requested as part of the recruitment process. Position
-
to undertake transdisciplinary applied research that creates positive impact for society, the economy and the environment. This year, our focus is on building transdisciplinary capability in three key areas