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for the stage in which the complete application is submitted cannot be accepted. The TOEFL-designated institution code for GSEFM is "7276". Application deadline Applications will be reviewed in three stages with
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Humboldt Foundation with their account number, bank address and bank code. The research award is granted in recognition of the academic achievements and the personality of the award winner and may only be
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working in interdisciplinary and international teams and have image processing or image analysis skills. In addition, you are able to express yourself confidently both orally and in writing in English. What
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System analysis, prognosis and control Transport processes Image Processing High Performance Computing Financial Mathematics Materials characterization and testing What you bring to the table You have
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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to study translational aspects of cancer (single-cell sequencing of immune cells, organoid co-cultures, cellular engineering via CRISPR/Cas9 technology, in vivo imaging, advanced animal models of allo-SCT
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. The project focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how
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experimental use of organoid models (provided by a partner institute), including adaptation for biophysical assays and imaging Experimental investigations using atomic force microscopy (AFM), including force
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the research areas of Infection Medicine and Microbiology, Immunology, Oncology, Neurosciences, Pharmacology/Cardiology/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large
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the developed code Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A master’s degree in Computer Science, Geodesy, or related discipline Very