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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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national research facility, we provide an unparalleled combination of 3D imaging facilities and data analysis, research knowledge and technical experience to support users that have never worked with X-ray
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system, including a suitable camera and an embedded system, will enable real-time acquisition of images of the tube carriage, from the side of the carriage, and subsequent image processing algorithms
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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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opportunity to participate in clinical research within an established multidisciplinary team with a track record in undertaking trial-related medical imaging research which has led to several changes in
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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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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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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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, 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