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investigate the feasibility of new imaging modalities for situations where currently employed imaging techniques, such as X-ray transmission and backscatter, have limitations. This project will focus
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will lead to natural collaboration opportunities. The primary methods used in this project will be experimental, involving fluid characterisation and high-speed imaging experiments, using Phantom high
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with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
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We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
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. You will be responsible for carrying out research on neuroimaging meta-analysis (NMA), developing novel methods and implementing them in efficient, well-documented and user-friendly code to be
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on neuroimaging meta-analysis (NMA), developing novel methods and implementing them in efficient, well-documented and user-friendly code to be integrated with the NiMARE (NMA) software project. To be considered you
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models of predictive coding in the auditory cortex—shaping our understanding of brain function from the ground up. Predictive coding and predictive processing are compelling theories to explain brain
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to cutting-edge biomedical imaging research and enhancing our understanding of the brain? The BrainEcho Lab within the department of Neuroscience at Erasmus MC is looking for a passionate PhD candidate to join
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intended to complete with a PhD. The place of employment is Hamburg. GERICS develops science-based prototype products and services in support to government, administration and business in their efforts
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qualified women to apply for the position. Your tasks #designing, planning and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques #developing computational codes