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Field
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, Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) . This project is a 5-year collaboration between researchers at Chalmers University of Technology, Uppsala University, and
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of their machines is maximised, or machine downtime is minimised. The aim is to develop a smart sensor prototype and demonstrator for condition monitoring of low-speed bearings. The following objectives are defined
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defects without compromising structural integrity, thus ensuring passenger safety and operational efficiency. The project aims to design and prototype a ground-based automated inspection system capable
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training that prepares young scientists for a successful career in infectious disease research. The LIV technology platforms offer state-of-the-art infrastructure for flow cytometry, microscopy and image
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Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
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The rapid growth of the data economy and the privacy implications accompanying it have motivated a new paradigm shift towards decentralisation of data on the Web, which aims to foster data
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analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current
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research methods. Knowledge and interest in mental health and body image / appearance psychology. In light of the project’s service user and equity-focused orientation, we particularly welcome applications
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at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research
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drug screening, CRISPR-Cas9 genome editing, RNA sequencing (bulk and single cell), proteomics, molecular biology methods, protein analysis and high-resolution imaging using confocal microscopy