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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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application for this project at http://www.bris.ac.uk/pg-howtoapply . Please select
on the Programme Choice page. You will be prompted to enter details -
be to quantitatively compare the predictions made by the digital twins of the patients' faces with the post-operative reality. - Collection and processing of post-operative scanner imaging data
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Education and Experience Required: B.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry experience
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procedures and images. This includes overseeing quality assurance programs for echocardiography. Lead initiatives to improve echocardiography lab performance, implement new processes, and ensure compliance
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skills to collaborate with physicians, staff, and other stakeholders. Develop a national reputation in both clinical excellence and research in the field of non-invasive imaging. Develop expertise in
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Archiving and Communication System (PACS), applicable image upload software, and computer equipment to import images from digital media to PACS. Troubleshoots images and collaborates with Imaging Department
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processing modules, notably with the PyNX software (http://ftp.esrf.fr/pub/scisoft/PyNX/ ); Support ESRF beamlines exploiting coherent X-ray imaging techniques; Conduct an original research project exploiting
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sytnhesis and functionalization, materials science, characetrization techniques and in vitro/in vivo prototype validation in relevant environments. The candidate will work as part of an international team and
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python