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achieve recognition and impact in the research area. Designs PCBs and develops FPGA code as a core aspect of the design process. Develop image signal processing systems and sensor motion control
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface
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graduate with its Juris Doctor for admission to practice recognised as a high-level qualification in Australia and beyond. Coupled with the unrivalled excellence of the Melbourne Law Masters and its
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to the safe and efficient operation of research equipment, infrastructure, methodologies and protocols Contribute to the upkeep of the project website and ensure safe handling and disposal of research materials
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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expertise in digital imaging technologies and data-driven research solutions. Apply for and manage competitive research funding, including joint projects with colleagues. Supervise and mentor Honours and
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Bioinformatics. The role focuses on exploring brain development and function from developmental and comparative perspectives, integrating molecular biology, advanced imaging, and genomics/transcriptomics
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supporting a diverse range of imaging and analytical instrument platforms. About the opportunity Elaborate new methodologies applied to critical mineral research with a focus on REE and Li Identify efficient
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supporting a diverse range of imaging and analytical instrument platforms. About the opportunity Elaborate new methodologies applied to critical mineral research with a focus on REE and Li Identify efficient