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completed a postdoctoral contract of at least 2 years and have advanced research experience in the field of microscopy and image analysis. You are an expert in cryo-electron microscopy and image analysis. You
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with deep generative models (VAEs, GANs, diffusion models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as
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the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral and written communication skills and
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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or deep learning reconstructions). Knowledge of radial data acquisition strategies, artifact mitigation methods, and their use in parametric imaging (e.g., T1/T2/T2* mapping). Preferred Qualifications
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches
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hardware solutions. Computational Imaging & Reconstruction Assist in developing and applying advanced image reconstruction methods, including compressed sensing and deep learning techniques. Contribute
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lifecycle for distinguished researchers and postdoctoral fellows, including employer nomination processing and correspondence with government departments Applying and upholding the University's immigration
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vascular biology, alongside deep expertise in myocardial biology and the molecular mechanisms of left- and right-ventricular failure. This includes but is not limited to in vitro models (isolation of adult
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profiling and quality control. Develop and deploy deep learning models to support imaging-guided experimental decisions within the VISIBLE platform. Integrate imaging data with functional, screening and multi