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investigate the architectural potentials of using local biogenic materials, emerging technologies and pioneering approaches to architectural design and construction using computational design, robotics and
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 3 hours ago
Deadline 10 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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research in drone autonomy, sensing, and cooperative multi-agent systems. Designing, implementing, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students
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24 Oct 2025 Job Information Organisation/Company UNIVERSITY OF ADELAIDE Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Australia Application Deadline 24 Nov
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prevention. The successful candidate will join the Wildlife Crime Research Hub and work as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm
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rating of 5 in the 2018 ERA rankings. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology
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. The expected outcomes of this project include new design knowledge demonstrated through architectural and design prototypes that fuse computational design, robotic craftsmanship, and biomaterials. The successful
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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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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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learning and cloud-based architecture skills to lead the fine-tuning/training, design, development, and integration of the AI components of the AiCT-Med platform. Candidates from diverse backgrounds in AI