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dynamical systems theory, including differential equations, simulation techniques, state-space and input-output representations, time-delay embedding, and/or time series analysis from experimental data
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fellow to investigate molecular mechanisms underlying lung infections (viral or fungal) and chronic lung diseases such as asthma. Research in the Chen lab is currently supported by multiple NIH R01 grants
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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required
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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research
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and their potential applications in a dynamic environment with a collaborative, multi-disciplinary team. You will be the backbone of the project, supporting the activities of your team. In this role
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Functions We are seeking a highly motivated and talented postdoctoral researcher to join our dynamic research team in the field of vascular biology. The ideal candidate will have a strong background in
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and run within IMAU Ice and Climate research group. The created emulator can be used, for example, to rapidly provide precipitation fields for long-term (millennia) ice sheet simulations with changing
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have recently highlighted the importance of the FAT1 gene during carcinogenesis (Lu et al, Nature Cell Biology 2025; Lu and Kanu, Nature Cell Biology 2025). We strive to understand the molecular
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and the induction of innate and adaptive immune responses. Understanding of viral analysis using molecular approaches, single cell analysis and analysis of immune responses contributing