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Field
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the Role The Postdoctoral Research Fellow will contribute to a range of research and research translation activities as part of an Australia Economic Accelerator funded project developing a prototype
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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national human rights courts, tribunals, mechanisms, and transitional justice processes, and propose potential pathways to justice for victims. This position relates to the second part of the project
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on the microscopic level translates into the function on a macroscopic level. Imaging biomolecules, together with trace elements, is vital in understanding complex processes, disease mechanisms, or the effects
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the Neurogenesis and Brain Cancer group led by Prof. Simona Parrinello. The team uses a variety of state-of-the-art technologies, including advanced imaging, single cell and spatial ‘omics’, barcoding, mass
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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term, appointment to commence as soon as possible. The specific topic area of this post is relating to the development of optical coherence tomography (OCT) and fibre-based optical imaging technologies
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The Lead Researcher within the Cell and Tissue Imaging Center's electron microscopy facility utilizes an established skill set in electron microscopy and histology (tissue processing, resin
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early intervention alerts in aquatic environments. Integrate open-source and commercial aquatech tools (e.g., air and underwater imaging, biosensor platforms) to build proof-of-concept detection pipelines