301 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs in Australia
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Sydney
- Monash University
- University of New South Wales
- Macquarie University
- The University of Queensland
- RMIT UNIVERSITY
- RMIT University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- UNIVERSITY OF SYDNEY
- Flinders University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- The University of Western Australia
- University of Tasmania
- Deakin University
- Curtin University
- ADELAIDE UNIVERSITY
- FLINDERS UNIVERSITY
- James Cook University
- UNIVERSITY OF WESTERN AUSTRALIA
- La Trobe University
- CSIRO
- Charles Sturt University
- UNIVERSITY OF THE SUNSHINE COAST - UNISC
- Australian Graduate Women Fellowships
- Australian National University
- CHARLES STURT UNIVERSITY
- LA TROBE UNIVERSITY
- Nature Careers
- QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT)
- THE UNIVERSITY OF NEWCASTLE AUSTRALIA
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- 22 more »
- « less
-
Field
-
Earth Engine, ENVI, MATLAB, or R. Desirable Proficiency in applying machine learning methods to multispectral and hyperspectral data for detecting crop diseases and estimating crop yield and quality
-
experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
-
an equivalent discipline) expertise in statistical and machine learning approaches, with the ability to apply advanced methods to complex environmental and agricultural datasets proficiency in R and/or
-
: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
-
sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best
-
strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
-
, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level. Excellent communication and
-
. Demonstrated computer skills, ie. MS office suite including spreadsheets. Experience/knowledge of qualitative research methods. Experience/knowledge of basic data science database programs, statistical software
-
the Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering. CIoTT is internationally recognised for excellence in wireless communications and signal processing and
-
ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive