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applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. General Requirements Candidates should have (i) a PhD degree in imaging science or related field or an equivalent
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artificial intelligence (AI)-based imaging solution for applications in poultry meat. The project will focus on detecting and predicting key safety and quality attributes of poultry meat, such as foreign
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-Talisman Lab, please click here . As a successful candidate, you will: Purify EVs from cultured cells and plasma using different analytical platforms. Perform imaging experiments using super-resolution
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studies how cancer and healthy cells respond to irradiation and DNA‑damaging drugs, using quantitative live‑cell imaging at the single‑cell level. We welcome applications from recent PhD graduates
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model and biological membranes. The experimental data will be paired with results from molecular dynamics simulations to provide a complete characterization of the biophysical properties of the imaged
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imaging at the single‑cell level. We welcome applications from recent PhD graduates interested in these or related areas, especially those with expertise in quantitative in-vivo and ex-vivo imaging
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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of cryptographic algorithms through solving polynomial systems of equations. It is crucial for building confidence in quantum safe cryptography, as well as novel symmetric encryption algorithms designed for use with
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, should you wish to send your application in a digitally encrypted form.
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quantum safe cryptography, as well as novel symmetric encryption algorithms designed for use with advanced protocols, such as fully homomorphic encryption, multi-party computation or zero-knowledge