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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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take place in the week of September 1. Expected starting date is mid-October, 2025. Screening is part of the selection procedure. Applications should include the following documents: A video (2-minute max
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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healing, and nuclear mechanosensing. The successful candidate will have established experience in the following areas: (a) imaging techniques such as fluorescence, confocal, and multi-photon microscopy, (b
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Abilities: Experience with topological quantum materials High pressure processing including spark plasma synthesis Experience with dilution refrigerators Synchrotron based materials characterizations
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biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
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cell biology. Additional preferred qualifications include: experience in mouse models of disease, flow cytometry, single-cell RNA sequencing analysis, and image processing and analysis. Qualified
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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programming; experience in Python for machine learning and/or digital image processing is preferred. Strong communication skills, both in formal written reports/manuscripts and oral presentations. Language
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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