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focuses on combining novel genome engineering tools (e.g., CRISPR-based) and computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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on the creation and application of predictive simulation models Collaboration on the development of data processing and fusion algorithms Collaboration on the virtual modeling of marine structures Conducting and
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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to understand cancer development and to develop new therapeutic strategies. The Fred Hutch/University of Washington Head and Neck Research Program- Fred Hutch and the University of Washington have a world-class
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aims to achieve reliable genome design and synthesis – engineering cells to have specific functions – which will be a major milestone in modern biology. A dedicated social science program will support
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. The Medical University of Vienna provides an excellent research environment including state-ofthe-art research core facilities and an international PhD program and various platforms which bring together
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. At the heart of our program is the GLICO (Glioma-in-a-Cerebral-Organoid)platform, a system we pioneered where patient-derived glioma stem cells are grown within human cerebral organoids. This high-fidelity model
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the fields of cancer survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic