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to deploy soft sensors in real-time environments. Key responsibilities will include: Under the guidance of senior researchers, program process models for the minerals processing industry Assist with
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systems and sensor integration pipelines for PX4- and ArduPilot-based platforms. You'll work closely on embedded and real-time systems across various drone configurations and mission types. You will
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Centre at Macquarie University. In this role, you will lead the development of robust UAV control systems and sensor integration pipelines for PX4- and ArduPilot-based platforms. You’ll work closely on
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aims to define the optimal specifications for spaceborne hyperspectral sensors to detect diseases in Australia’s key wheat and barley crops. The successful candidate will lead the development and
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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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
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the prediction of molecular crystal structures, their growth and their properties in close collaboration with fellow team members. Developing algorithms for efficient sampling of candidate crystal structures and
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Professor Kalina Yacef. These projects explore how multimodal data from online platforms and sensor-based environments can be harnessed to enhance learning at scale. Research directions include designing
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning algorithm for photovoltaic applications and utilising them for the investigation
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning