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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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out in Article 113 of the Act of 20 July 2018 - Law on higher education and science (Journal of Laws of 2018, item 1668) and the following qualification criteria: 1. PhD in physics /optics
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for final selection . The visit is an integral part of the selection process, as it allows both the candidate and the research group to assess scientific and personal fit A PhD represents a 3–4 year
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, expensive, and complex equipment, limiting their widespread use. This PhD project aims to overcome these barriers by developing a new silicon‑based photo‑modulator capable of delivering faster imaging speeds
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination
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biological experiments, and integrating vivo two-photon imaging with optogenetic and pharmacological (DREADD) manipulations. A special emphasis is placed on expertise in migraine-relevant mouse behavioral
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If you want to pursue a research career at the intersection of additive manufacturing (AM), microstructural engineering and advanced statistical/machine-learning (ML) based modelling, then this PhD
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, starting IV's, and injecting contrast, if applicable. Assist radiologist with interventional CT procedures. Evaluate CT scans for technical quality, collate processed images in sequence of exposure and