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Field
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real-time during behavioural tasks Integrating virtual reality paradigms with behaviour and imaging to assess decision-making processes Exploring potential therapeutic interventions for NMDA receptor
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of geometric flows to resolve important geometric and topological questions, and produce new theoretical tools applicable to similar systems arising in areas such as image processing, finance and material
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*. * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities. Candidates are asked to self-declare when applying to this hiring process. City: Edmonton
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Foundation Data Science Collaborative Research Programme. In other arms of the collaboration, deep learning analyses of pregnancy ultrasound images will lead to measures of fetal and placental anatomical
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Qualifications Master or Honours About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and
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Your job Are you enthusiastic about understanding climate feedback processes in tundra ecosystems? Are you enthusiastic to conduct field- and remote sensing-based monitoring for impactful science
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industrially-relevant human-made materials. This project will address key priorities in the microscopy sector by developing workflows that integrate cutting-edge imaging and characterization techniques and
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The rapid growth of the data economy and the privacy implications accompanying it have motivated a new paradigm shift towards decentralisation of data on the Web, which aims to foster data
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-precision metrology instruments Wafer bonding in semiconductor manufacturing Engine docking assemblies Medical diagnostic and imaging systems A key aspect of this research is addressing fundamental
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motivation to learn, cryo-EM data collection, image processing, and 3D structural analysis. Prior experience with cryo-EM single-particle analysis (SPA) and/or cryo-electron tomography (cryo-ET) is a strong