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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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-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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measuring prediction error signals in the brain. You will support the compelling hypothesis: a key function of sleep is to balance prediction and surprise. Key responsibilities will include: Research: Produce
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in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University
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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
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with research assistants at the AustLit and AusStage digital databases to identify, augment, and analyse data related to the city of Darwin/Larrakia Nation and its literary and performative
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the subject line. Want to Apply? We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload: Resume Cover
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including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You A PhD in epidemiology or a related discipline