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Field
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talented PhD students to develop and benchmark cutting-edge super-resolution imaging technologies. The project aims to establish a comprehensive approach for ultra-high-content, multimodal imaging
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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of
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imaging data and possess sufficient specialist knowledge in brain imaging. The position is full time (part time considered) fixed term for two years. The closing date for applications is noon on 21 April
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imaging, based on absorption, provides good image contrast between high- and low-density materials, such as bones and soft tissue. However, it cannot distinguish subtle density differences between soft
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research and pioneer innovations in single-molecule imaging? Join our team at the forefront of nanooptics to unlock the mysteries of life at the nanoscale! Job Description Our team is advancing Nanofluidic
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, you need to develop and apply methods that enable the recognition of phenological stages of allergenic plants on images. Then, the phenological development of these species shall be modelled based