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–200) desirable, as well as experience in TEM/STEM image processing and simulation using open-source Python packages such as atomic simulation environment (ASE) and abTEM. A willingness to occasionally
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the carbonation processes. The team at the ESRF will develop an in-situ carbonation cell under moderate CO2 pressures. The researcher will develop 3D image analysis protocols to characterise cement microstructural
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. The successful candidate is expected to have experience in artificial intelligence and machine learning, big data processing, cardiac image analysis, data visualisation and statistical methods. Strong
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function using a combination of in vitro and in vivo studies, using cellular and mouse models of hypertension and/or diabetes. A combination of clinically relevant non-invasive imaging approaches to monitor
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texts. By using a mixed method approach, we propose to make the erased texts readable again, and then edit, translate and study them. Combining multispectral image capture and analysis with machine
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role involves in vivo imaging approaches (e.g. multi-photon microscopy and optical imaging spectroscopy) to assess neuronal and vascular function in the hippocampus and neocortex of awake mice. You will
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, including subcellular fractionation, live-cell imaging, RT-PCR and ELISA techniques. Successful candidate will become a member of the CAPKR research team and be fully involved in a project entitled “Improving
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part in the advent of the computer resolution started in 1948, when the machine affectionately known as “the Baby” ran its first stored program in the very building we work in. The University has
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build the telescope which has become an icon of British science and engineering and a landmark in the Cheshire countryside. Today the Lovell Telescope plays a key role in world-leading research on pulsars
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(SMI) Hub), National Physics Laboratory (NPL), National Composites Centre (NCC) and Centre For Process Innovation (CPI), will exploit existing infrastructure within GM and nationally to catalyse cross