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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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or close to completion of a PhD in Australian Military History or a related discipline, and/or relevant work experience Actively stays up to date with discipline knowledge and professional development
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Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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, Machine Learning, and Big Data Analysis To Apply We encourage all candidates who meet the selection criteria to apply for this role. Please submit: A current CV A cover letter specifying whether you are
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, Machine Learning, and Big Data Analysis To Apply We encourage all candidates who meet the selection criteria to apply for this role. Please submit: A current CV A cover letter specifying whether you are
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. Lay the foundation for future studies combining WAVES-4MOST with future space-based facilities. About you Have a PhD in a field relevant to extragalactic astronomy. Demonstrated commitment in
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facilities. About you Have a PhD in a field relevant to extragalactic astronomy. Demonstrated commitment in participating in high quality research evidenced by peer-reviewed journal articles published in
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strong research background or a more applied background. What you can bring to the role Possess a PhD or a Bachelor’s degree with a minimum of 6 years of professional experience in a related field and
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completed PhD or equivalent in Design or equivalent
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degree with strong skills in programming and machine learning. Please contact Zhuang Li for more information. The project focuses on developing multilingual datasets and advanced methods to detect and