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(Level A) is expected to contribute towards the research effort of UNSW and to develop their research expertise through the pursuit of defined projects relevant to their particular field of research. About
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value theory for random dynamical systems through the development of novel techniques in functional analysis, operator theory, and ergodic theory. Applications of the new theory will include the analysis
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and manage research funding, publish in reputable journals, utilise best practice research methodologies, and participate in project discussions. Supervision and Researcher Development: Recruit and
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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NTU, CEE is a leading school for Sustainable Built Environment. We are looking for a Research Fellow to support the development of smart connectors for modular floating breakwaters. The role will
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on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected
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Photonics device structures. Design and implement devices such as topological lasers and detectors and waveguides. Develop and validate devices such as lasers and detectors and waveguides. Collaborate with
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work independently, develop solutions under strict timelines, meticulous and eye for details, excellent organizational / time management skills Entry level candidates are welcome to apply We regret
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evaluation of the project’s core technical components in expert-in-the-loop agentic AI for manufacturing. Develop process-centric AI methods and software tools for BPMN modelling, Petri/CPN formalisation
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subfield of Biological Anthropology or an adjacent field, with interests in areas like evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging