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Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in
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. The University has been awarded the Disability Confident Leader status. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We will make
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, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity with an aim
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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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for collaboration on high-impact publications, networking with leading experts in business power and public policy, and participation in international research events. Application Process Submit a complete
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with integrated circuit design processes, flows, CAD, and EDA tools. Experience with x-ray scattering or imaging. Synchrotron experience is preferred. OTHER INFORMATION: Initial 2-year term appointment
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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Excellence in Nano Imaging (CNI). Cryo-EM resources include: 1. Thermo Scientific Titan Krios G3i equipped with a GIF Quantum energy filter and K3 detector 2. Thermo Scientific Glacios equipped with a Falcon 4
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morphology imaging, and spatial transcriptomics—to identify altered cell states and mis-patterning events. The aim is to integrate computational and experimental approaches, including validation in vivo
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phase-change heat transfer, micro/nano fabrication (photo or e-beam lithography), and optical imaging. The primary responsibility is to study liquid film dynamics during phase-change processes such as