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Field
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relevant cell research by combining robotics, microfluidics, advanced sensors, cloud-connected software, and artificial intelligence. The successful candidate will become part of a multidisciplinary
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infection. This project will ask how antibiotics reshape phage-bacteria interactions, resistance evolution, and cell-to-cell variation in bacterial responses. The student will combine experimental evolution
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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gastrointestinal illness. Having identified nearly 100 host cofactors of viral replication, the lab investigates how these cellular genes contribute to critical stages of the viral life cycle, including entry
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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of the molecular and cellular events that lead to vascular calcification in chronic kidney disease. Animal models for chronic kidney disease or diabetic mice will be performed to mimic human relevant diseases. By
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, including cutting edge quantum physics and chemistry, material science, nanotechnology, biochemistry, cell biology, or medical research. The SNI PhD programme includes multiple social events, trainings in
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therapies. In our laboratory, we have established and validated a panel of genetically heterogeneous PDAC models. These studies have shown that malignant-cell genetics shape distinct, therapeutically
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exactly the immue system detects and responds to pre-cancereous lesions. Nevertheless, it is known that the activatin (or deactivation) of anti-cancer immune cells involves many different cell-types
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. Intercellular relationships in breast cancer tissues also determine cellular activation states and expression profiles, rendering some cells susceptible and others resistant to new treatments. The aim