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Field
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, Computational X-ray Nanophotonics for Phase Contrast Imaging We are seeking a Research Fellow to spearhead cutting-edge research in the computational and theoretical modeling of free-electron-driven X-ray
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-ray Tech” by the Falling Walls Foundation. [Group website: https://sites.google.com/view/ljwgroup ] We are seeking a Research Fellow to spearhead cutting-edge research in the computational and
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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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, electrical engineering or biomedical engineering. Other degrees can also be considered given that the candidate has formal competence in computing. Matlab/Phython programming Gitlab/Hithub or another relevant
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of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging
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Science: Software Engineering, Sensor Networks and Engineering Computing and the HVL Software Engineering Group (https://www.hvl.no/forsking/gruppe/programvareutvikling-software-engineering/). The research programme
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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molecular cloning, CRISPR, or genetic circuit design Experience with flow cytometry, confocal microscopy, or in vivo imaging (bioluminescence, fluorescence) Computational skills for data analysis, signal
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a
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mechanical properties of the heart. By integrating imaging information with computational models, the project seeks to estimate clinically important parameters that are otherwise difficult to measure without