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: How do we watch material surfaces evolve? Change: Building a surface-sensitive diffractive microscope. Impact: Enabling high-resolution imaging of surfaces during operation. Job description We
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(DED), and use synchrotron imaging to show how this transforms solidification microstructures and reduces defects. You will hold a PhD (or equivalent experience) in materials science, physics or a
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Medical physics Data science Related health, science or engineering disciplines Experience with imaging analysis, signal processing, programming, machine learning, or quantitative research methods would be
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. The broader HTRICxUEF consortium provides additional expertise in the use of high-energy radiation, nanomedical drug release, and other types of medical imaging. Where to apply Website https
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the appropriate rank based on their education and experience. The broad criteria are noted below. Education The successful candidate must have the following degrees: A PhD or Doctorate in Medical Imaging, with a
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on meaningful healthcare problems. Research opportunities Our research integrates physiological signals, medical imaging, clinical text, and electronic health records, with applications in maternal and
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movements in mice. You will be expected to adapt this task to an induced end point error paradigm, and train healthy and mutant ATXN mice in this task, in order to examine how cerebellar-dependent adaptation
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closely with two PhD candidates with complimentary roles: one will focus on experimental imaging, microscope characterization, and establishing the imaging methodology, while the other will develop
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representative, unbiased, privacy-preserving, and scientifically valid for (premarket) regulatory purposes. In this PhD project, you will investigate when and how synthetic medical imaging data can be used as
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PhD scholarship is linked to a successful NHMRC Ideas Grant investigating Non-invasive Dynamic 3D Phase-Velocity Field Imaging (PVFI) to advance epilepsy surgery eligibility and outcomes. About the