358 developer-"https:" "https:" "https:" "Robert Gordon University" positions at Monash University
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, financial management, staff leadership and organisational development are essential, along with highly developed analytical, communication and stakeholder engagement skills. If you are seeking a senior
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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, aiming to publish in leading marketing journals and develop a coherent program of research capable of attracting external funding. You will engage with industry to deliver real-world research impact and
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to life. In this role, you will support both strategic and day‑to‑day activities by developing and coordinating high‑quality communications across a range of channels including from internal newsletters
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well as maintain and develop your scholarly, research, professional and engagement activities. About You We are excited to welcome excellent and collegial academics who are eager to contribute to the success
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energy, water, food, and waste. You will play a key role in the project’s conceptual development, undertake qualitative data collection and analysis, and co-author publications that support environmental
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Fellows to join a major program (>$20M) funded by the Advanced Research Projects Agency for Health (ARPA-H). This ambitious program focuses on lymphatic pathophysiology and the development of innovative
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, professionalism and attention to detail. We are seeking someone with strong administrative and project coordination skills and the ability to support the delivery of strategic initiatives. Well-developed
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Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by Chris Wallace and colleagues. The fundamental insight of MML is