47 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at Monash University
Sort by
Refine Your Search
-
attract international scholars, PhD students, and Research Fellows, contributing to innovative research that shapes the field. Ranked among the top 10 institutions in Econometrics, Time Series, and
-
programming (R or Stata preferred), and scientific computing Excellent problem-solving, planning and written communication skills Experience working with health-related data and modelling methods A
-
closely with academic staff and provide guidance and support to junior researchers and students involved in the project. Ideally you will have a PhD in Economics of Education or expect to receive it by
-
people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
-
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
-
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
-
research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . Be part of our story. Work with us to #ChangeIt . Monash supports
-
are seeking a Research Fellow to contribute to a project funded by the Australia Economic Accelerator (AEA) Ignite program, focusing on the design and integration of a novel point-of-care diagnostic platform
-
with our commitment to academic freedom , you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more about
-
demonstrate a strong commitment to confidentiality and information handling, work collaboratively with colleagues, and show proficiency in Microsoft Office and University software, with a willingness to learn