51 digital-image-processing Fellowship positions at The University of Queensland in Australia
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at our St Lucia campus About This Opportunity The Advanced Materials Processing and Manufacturing (AMPAM) research group within the School of Mechanical and Mining Engineering is seeking a Research Fellow
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Fellow (Mechanical Engineer) to join a dynamic team advancing the development of high-speed, high-power laser imaging systems for next-generation biomedical applications. The role involves the mechanical
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project focused on developing a digital twin of a poultry breeding program. The project aims to investigate novel prediction technologies and alternative breeding program designs to create and prioritise
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
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! Key responsibilities will include: Research: Support large-scale cognitive neuroscience research on brain stimulation, imaging, neurofeedback and neuropharmacology; develop a coherent research program
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in conducting human behavioural experiments or human-centered field studies. Demonstrated experience in using machine learning, such as deep learning for image processing, or natural
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-first project is investigating the emotions and coping strategies of patients during an in vitro fertilisation (IVF) treatment cycle. We will use this information to develop a digital intervention to
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, electrochemical, digital) into micro/nanofluidic platforms. Perform surface modification, functionalization, and patterning of materials for selective bio-interfacing. Collaborate with interdisciplinary teams
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staff, including hands-on guidance in strain engineering and fermentation processes. Support the professional development of junior scientists, engineers, and technicians by sharing knowledge and best
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-disciplinary research, contribute to national and international collaborations, support student training and development, and shape the future of digital geoscience infrastructure in Australia. Key