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postdoctoral fellow to work with advanced 3D models of lung to understand regenerative processes in normal conditions and disease states. The employment is full-time 100% with the desired start date on 15
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animal model. However, small animal model findings are not always transferable to larger mammals or humans. The goal for the post-doc is to investigate how the tendon structure and mechanical function
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immunity through detailed molecular characterization of these disease models. Joanna Rorbach’s lab: Our current research encompasses genetic, structural, and biochemical studies to understand the regulation
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good conditions for both staff and students to develop. The three undergraduate programs also correspond to three programs at the advanced level: Master's program with a specialization in radiography and
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working knowledge analyzing forests, for example ecosystem growth rates, or population genetic structure. The post doc must be well versed in data analysis in R, including univariate and multivariate
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, neutralization, advanced single-cell multi-omics approaches, high-parameter flow cytometry, antigen-specific tetramers, and functional assays to characterize T cell plasticity and B cell clonotypes that underlie
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genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based methods to predict the origin and dispersal patterns of genomic
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focuses on developing fundamental synthetic biology-based technologies for applications in regenerative medicine. Duties The field of synthetic biology is highly interdisciplinary, combining advanced
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this position, you will develop agentic AI solutions that can autonomously configure and deploy 6G and edge-cloud functions, using digital twins and advanced validation techniques. You will work closely with
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of genomic sequences. Despite the growing availability of high-throughput genomic data, the lack of advanced analytical frameworks has hindered forensic efforts. This project aims to develop and apply AI-based