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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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of the postdoctoral researcher will include: To work closely and proactively with Prof Anton van den Hengel to scope and develop research ideas. To develop algorithms, machine learning models, Python modules
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of Physics and Astronomy. AIPAD tackles the above questions by developing two innovative AI algorithms: The first algorithm will infer full SEP pitch-angle distributions (PADs) for spacecraft measurements
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of high impact research into the Australian community. The tasks of the postdoctoral researcher will include: To work closely and proactively with Prof Anton van den Hengel to scope and develop research
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision
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students in the classroom, or helping shape everything that makes our education and research possible. Postdoctoral Researcher in Biofabrication (Additive Manufacturing) Our goal: Develop cutting-edge
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
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-funded project “Exploring the Promises and Pitfalls of AI Technology in Civil Service Provision (VALUE-AI)”, lead by dr. Kristina S. Weißmüller, in collaboration with prof. dr. Gjalt de Graaf and the
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with