Sort by
Refine Your Search
-
PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
experience and conceptual background in cellular immunology. Experience in animal (specifically mouse) handling. Experience in tissue culture To apply, please submit the following documents to Prof. Magdalena
-
, bioinformaticians and biologists. Experience in tissue culture. To apply, please submit the following documents to Prof. Magdalena Plebanski (magdalena.plebanski@rmit.edu.au ) and Dr April Kartikasari
-
. To apply, please submit the following documents to Prof. Magdalena Plebanski (magdalena.plebanski@rmit.edu.au ) and Dr Kirsty Wilson (kirsty.wilson2@rmit.edu.au ). A copy of electronic academic transcripts A
-
conceptual background in cellular immunology. Interest in, and ability to, learn bioinformatics. To apply, please submit the following documents to Prof. Magdalena Plebanski (magdalena.plebanski@rmit.edu.au
-
PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
propagation Interfacing to array microfluidics Image analysis of biosensor response Sensor surface biofunctionalisation Optical communications High-speed signal analysis Modelling of optical propagation in
-
of Australia. This scholarship is open to all local candidates, Australian and New Zealand citizens or permanent residents of Australia. To discuss this project further, please contact: Prof Brant Gibson
-
statement of purpose to Prof Reza Hoseinnezhad (rezah@rmit.edu.au ). Please send your latest bachelor and master (if applicable) degree transcripts along with your updated CV and a statement of purpose to
-
), Be an Australian resident or citizen or meet English requirements of the University Interested candidates are to contact Dr. Veluswamy (Ganesh.Veluswamy@rmit.edu.au ) and Prof. Kalpit (kalpit.shah
-
published (not essential), to Prof Reza Hoseinnezhad (rezah@rmit.edu.au ). Please send your latest CV and full transcript of bachelor and master degrees (if applicable) along with a copy of any papers you may
-
computer vision and machine learning methods and adapt new algorithms to automate inspection procedures of PV plants. Given the data captured by a remotely operated drone, we first investigate the required