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on robotics, biomedical sensor and AI algorithm for cancer diagnosis. This project aims to develop a miniaturized robot and bio-sensor for on-site laryngeal cancer diagnosis. The candidate can contribute to one
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programming Creating their own mechanical designs, implement and test them accordingly, Implementation of control algorithms on physical experiments. In addition, the candidates are expected to contribute with
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organization in unprecedented detail. These datasets will be integrated with genetic profiling and mechanistic follow-up studies to uncover how specific cellular states, transcriptional programs, and genetic
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date in August/September 2025. The successful candidate will join an exciting research project to understand the ecological and genetic drivers of individual variation in woodland phenology across
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these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered
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project focused on deciphering the genetic and epigenetic basis of aging and its misregulation in diseases such as fibrosis. You will employ technologies including: Single-cell RNA-seq, and spatial
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. MYC activity at enhancers drives prognostic transcriptional programs through an epigenetic switch. Nat Genet. 56(4):663-674. Siersbæk et al., 2020. IL6/STAT3 signaling hijacks ER enhancers to drive
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this project, the candidate will develop new computational strategies to identify human genetic variation linked to cell fate changes in neurodevelopmental disorders and cancer. The candidate can use and combine