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propulsion forces, uncovering the new fundamental principles that govern their movement. The physics of swimming on these small length scales is fundamentally different to that when we swim. By characterizing
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” analysis should in principle be able to extract information beyond the limits of current techniques, its development is still in an early phase. There is a still need to develop reliable ways to robustly
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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significant controversies regarding the exact mechanism of action. To understand the molecular and biophysical principles of protein folding, we aim to build fully controllable chaperone-like machines using DNA
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suitably qualified candidates for a number of different full-time funded PhD scholarships based at different universities across New Zealand, to start before 31st December 2025. Successful candidates will
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, acoustics, and AI. AURORA³ will enable fast, accurate and reproducible data collection thanks to a state-of-the-art acoustic anechoic chamber equipped with a spherical loudspeaker array and a world-first
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Chemical synthesis by Professor Martin Weissenborn at MLU (AG Prof. Weissenborn ) Our Research Training Group BEyond AMphiphilicity – BEAM – combines highly original science and research projects that start
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projects that start off from the well-known and simple concept of amphiphilicity. We propose an innovative look at intermolecular interaction patterns that we foster and develop in research projects
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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Closing Date: 1st June 2025 Supervisor: Dr Manish Kushwah Prospective Start Date: 1 October 2025 At Aston Institute for Membrane Excellence (AIME), we are passionate about equity, diversity, and