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magnetic resonance imaging (Flow MRI) is a powerful and non-invasive imaging technique that measures blood flow in time and space. It provides vital insights into key metrics for cardiovascular disease
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. The ‘network builder’ will produce editable procedural networks rather than final scenes or images. The experienced technical artist would remain responsible for the creative direction, adjusting parameters and
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Circulatory Support (MCS) experimental lab with real-world clinical analysis in patients with cardiogenic shock and cardiothoracic surgery. You will work at the frontline where engineering, physiology, and
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. Dai, focusing on the commercialization of R&D outcomes, with support from government, industry, and academia. The appointee will be responsible for the advancement of biomedical imaging device
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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mouse models, primary astrocyte culture, transcriptomics, and advanced imaging, you will identify the molecular signals linking neuronal JAKMIP1 dysfunction to altered astrocyte behaviour. Training across
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that efficiently carries out this process. In this position, the postdoctoral researcher will further explore the relationship between the purinosome and nearby subcellular structures such as
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“Personalizing Affective Images with Generative Artificial Intelligence”, led by Maciej Behnke, PhD, DSc. Number of scholarships: 1 Host unit: Faculty of Physics and Astronomy, Adam Mickiewicz University, Poznań
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular