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morphological changes in host cells. - Use sequence specific fluorescent labeling to follow virus infection in a time resolved manner in different archaeal models. Organisation The University of Groningen is a
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characterizing defects such as dislocations Applying generative models (e.g., GANs, diffusion models) to augment microscopy datasets Investigating domain adaptation techniques across different imaging modalities
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the development and activity of human beige adipose tissue. We will use a human beige adipose tissue organoid model recently developed by the team from cells derived from the vascular stromal fraction of human
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of the canopy and longer wavelengths being most sensitive to the characteristics of trunks and soils. Recent research has shown that phase difference between two temporally separated SAR acquisitions is also
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locally stored internal models of the environment. With existing edge solutions as baseline, a design solution will be explored to cope with the hardware constraints and the impact on energy
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since its discovery 150 years ago, due to a lack of model species 2,3. The candidate will use a combination of genetic tools to identify the molecular machinery responsible for chromosome fragmentation in
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research documentation, including ethics and funding applications Assist with routine team administration Assist with preparing reports, graphs, figures and presentations on research outcomes at different
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observations of the solar atmosphere, in-situ measurements from heliospheric probes, in synergy with a complete numerical modeling of the generation and propagation of solar jets from the solar atmosphere
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support