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engineering background who has an interest in image reconstruction and/or modelling the mechanics of the heart. The project also has a sub aim of protecting the heart from radiation during radiation therapy
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will design quantum-safe threshold encryption and/or authentication algorithms. The expected outcome is the design of methods, techniques and their software prototype to implement quantum-safe threshold
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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privacy-preserving data-rich instant checkout provider, for both in-person and online payments. Xiippy has introduced three world-first offerings to the world: end-to-end encrypted smart receipts instant
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contribute to research and policy addressing the escalating issue of the consumption of image-based sexual abuse (IBSA) and child sexual exploitation material (CSEM) online. The project is based at Flinders
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nutrients from food. Working alongside other postdocs and students focused more on structural aspects of these processes, this position will focus on understanding the bioidentity of the surface and how it
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the structure present in food systems dictates functional aspects such as digestion and release of nutrients. Working alongside other postdocs and students focused more on biological aspects of these processes
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populations. Working alongside other postdocs and students focused more on physical aspects of these processes, this position looks downstream at the effects of colloidal structures formed after digestion and
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and metabolic reprogramming—using advanced computational and imaging tools. Ultimately, the candidate will contribute their findings to the ADAPTS pipeline, supporting the development of a real-time, AI
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, statistical and bioinformatic algorithms for the analysis of microscopic images and data obtained by various biochemical and biological assays. You will be part of and mentored by a multidisciplinary team