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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will aim to study the morphogenetic processes occurring
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PhD student at ILL on Advanced Neutron Imaging for Defect Mapping in Repaired Aero-Engine Components
underexplored. The aim of this PhD project is to develop and apply advanced neutron imaging methodologies in order to establish quantitative links between processing conditions, microstructural evolution
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, collaborative environment, the technician will play a key role in supporting equine patient care across multiple services, including surgery, anesthesia, and diagnostic imaging, while working closely with
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experience with imaging, image processing, and/or visualization, as well as excellent programming skills. You must have a relevant Master's degree in computer science, electrical engineering, imaging science
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animal experiments (optogenetics, chemogenetics, calcium imaging and in vivo electrophysiology, modelling) aimed at understanding dendritic integration and its modulation by neuromodulatory inputs during
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and imaging. The availability of Si-compatible materials enabling the fabrication of near and mid-infrared detectors, waveguides and modulators would greatly increase the number of applications
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police clearance check may form part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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- Research Internal Number: A-182724-36 General Description Salary: $290,000 - $565,000 per year Seeking Experienced Cardiac Imager to lead Washington, D.C. region cardiac imaging program within the world
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: Algorithm. Software architecture. Machine learning. Professional Experience: In programming and/or research, image processing, machine learning. In topics of machine learning applied to wireless