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Field
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the analysis of images collected within the project to validate the new tools, in collaboration with cryo-EM practitioners. Additionally, the postdoc will work on developing new tools for the analysis and
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image
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on-site presence as needed, in accordance with UVA’s remote work guidelines. For information on resources for postdocs at UVA, visit https://postdoc.virginia.edu/ . To learn more about UVA and in
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the electrochemical process in operando conditions. We have already realized a first, operational prototype of the solid/liquid cell (Capone et al., J. Synchrotron Rad. 2024, 31, 1505). This research project will be
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community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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closely with PhD candidates, technical staff, and collaborators on stem cell culture, organoid and Chimeroid generation, tissue processing, and molecular profiling, while also taking a leading role in