30 bayesian-object-detection Postdoctoral research jobs at University of Sydney in Australia
Sort by
Refine Your Search
-
: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
-
technological capabilities. This initiative aligns with the larger objective of developing a nexus between research and practical applications, furthering SAIL’s contributions to defence and civilian technologies
-
the project lead peer reviewed outputs relevant to acoustic tracking and project modelling objectives, and other objectives as appropriate. About you The University values courage and creativity; openness and
-
preparation of peer-reviewed publications relevant to project objectives support occasional teaching activities and contribute to the supervision of undergraduate and postgraduate students. The ARC-funded
-
all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion . How to apply Applications
-
recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion . How to apply Applications (including a cover letter, CV, and any additional
-
employer. Find out more about our work on diversity and inclusion . How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button
-
applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion . How
-
all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion . How to apply Applications
-
District. Your key responsibilities will be to: undertake collaborative research in metagenomics focusing on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches