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candidate will join Associate Professor Jean Wen’s research group, conducting independent, high-impact research at the intersection of AI/machine learning, computational biology, and RNA biology. The position
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of adaptive decision-making architectures for large-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance
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in cyber-physical systems and AI-driven sensing and control for large-scale systems, the successful candidate will contribute to the development of adaptive decision-making architectures for large
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School of Architecture, Design and Planning – Faculty of EAIT Part-time (40%), fixed-term position for up to 12 months Base salary will be in the range $91,658.60 - $98,330.37 + 17% Superannuation
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science, computational chemistry, computational biology, or a closely related discipline. Demonstrated experience in the design of machine learning architectures such as GNNs, VAEs, or diffusion models applied
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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cognitive architecture (ETCs). This involves exploring a potential continuum of cognition, from basal organisms to complex animal societies, and extracting general principles, by comparing cases
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
Sciences), Emer. Prof. Griffiths (Philosophy) and collaborators to develop a unifying framework between evolutionary transitions in individuality (ETIs) and major transitions in cognitive architecture (ETCs
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of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences, Agriculture, Food and Wine and Animal and Veterinary Science. The Faculty
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the architecture of multi-trophic ecological interaction networks to the impacts of invasive plant species on ecosystem multifunctionality to inform approaches for ecological restoration. The ideal candidate will