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Field
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schizophrenia. In addition to making fundamental discoveries (e.g. how thalamocortical interactions implement attentional control and task switching), we aim to understand these processes well enough to develop
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. Work collaboratively with multidisciplinary teams across materials, mechanical, and electrical engineering. Conduct laboratory experiments and support prototype development, contributing to system-level
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motivated and creative Postdoctoral Scientist to join our dynamic, cross-disciplinary team. This role focuses on understanding how the somatosensory system has evolved to detect, process, and relay
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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
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; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate / Research Fellow who has: a PhD in
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PhD (awarded or near completion) in bioengineering, biomedical/electrical engineering, physics, biophysics or a related discipline. Hands-on experience of optical microscopy or advanced optical imaging
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with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept
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Department: The Image Centre Position supervisor: Head of Research Contract length: 1 year, non-renewable Hours of work per week: 36.25 Position type: Postdoctoral fellow Rate of pay: $70,000
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to: Contribute to development and deployment of particle imaging systems for use in breaking waves, both in the field and in the lab Contribute to analysis of images, and development of the open-source analysis
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trial collaborations and related research, contributing to the University's strategic priorities and enhancing its reputation for excellence in kidney health research. About you PhD or equivalent