38 condition-monitoring-machine-learning Postdoctoral positions at University of Sydney in Australia
Sort by
Refine Your Search
-
with SCION in New Zealand bringing together researchers in robotic perception, machine learning, remote sensing and silviculture to transform and upscale forest phenotyping operations. The role will be
-
draws on large-scale data collection and archival records, and applies a diverse set of methodologies such as text analysis and machine learning to assess the impact of colonisation. About you PhD in
-
supporting full-scale field testing to assess long-term durability and performance under real service conditions. The role also includes leading material characterisation, corrosion analysis, service life
-
density) influence energy dissipation develop mathematical models to predict and explain these effects collect and analyse data, including with the use of machine learning use this knowledge to design
-
/AI expertise) systems Engineering or Control Systems (with applications to large-scale projects) artificial Intelligence / Machine Learning (with interest in applications to megaprojects or governance
-
celebrated. We are continuously working to identify and remove biases and barriers in an effort to make our workplace open, supportive and safe for everyone. To learn more about the School of Physics, click
-
technologies for bone tissue fabrication and dynamic hydrogels for cartilage engineering. You will also integrate biosensor technologies for real-time monitoring of tissue development. Opportunities will include
-
computer literacy and proficiency in using various research and administrative software applications, that may include Microsoft Suite, REDCap, SPSS and other relevant data analytic software excellent
-
to identify and remove biases and barriers to make our workplace open, supportive and safe for everyone. To learn more about the School of Chemistry, click here About you The University values courage and
-
employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon