Sort by
Refine Your Search
-
Research Fellow, Systems and Computational Neuroscience Job No.: 676758 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $80,464 - $109,203
-
quantum engineering, quantum computing, and/or quantum information sciences A deep understanding of quantum algorithms and/or experience with quantum hardware will also be beneficial. A passion for
-
dedicated to exploring the complex interplay between genetics, epigenetics, and physiological adaptations to ageing and exercise. With a particular focus on sex-specific responses and functional ageing
-
the Faculty, the Department of Electrical and Computer Systems Engineering (ECSE) offers internationally acclaimed programs in power systems, telecommunications, electronics, robotics and biomedical engineering
-
, where we are at the forefront of researching congenital heart defects and cardiomyopathies in children with rare genetic disorders. About Us: The Jaffré Group specialises in understanding the molecular
-
and oral communication skills, including drafting of academic papers and grants High level computer skills with software skills such as Microsoft Office, SAS, SPSS If this sounds like you, we highly
-
. Amandeep Kaur, you will contribute to a vibrant research program centered on the design and development of novel fluorescent probes for super-resolution imaging—a powerful technique revolutionizing how we
-
discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking a highly skilled Research Fellow with a strong understanding of radar radio frequency (RF) systems
-
independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
-
program. You will develop and implement cutting-edge computational approaches to accelerate the identification and optimization of novel drug candidates, including molecular dynamics, protein modelling