45 postdoctoral-image-processing-in-computer-science research jobs at Monash University
Sort by
Refine Your Search
-
and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
-
Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
-
engineering. Be part of ARMI’s mission to address the unanswered questions with a multi-centre, cross disciplinary and highly focused approach, for the development of innovative clinical protocols as
-
industry- and government-friendly materials, public scholarship, and peer-reviewed academic publications The successful candidate will have a doctoral qualification in sociology, science and technology
-
sits at the forefront of an international program aimed at improving the understanding and treatment of alcohol use disorder. This position will leads functional neuroimaging research and plays a key
-
, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4 , pp270-283 Wallace, C.S. and D.L. Dowe (2000). MML clustering of multi-state, Poisson, von Mises circular and Gaussian
-
meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings
-
disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable
-
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
-
of Civil & Environmental Engineering is seeking an exceptional early-career researcher to join a nationally significant ARC Discovery Project exploring the sustainable size of cities and the transformative