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fees and international fees. Overview Are you interested in working with non-animal complex 3D models of human disease in the fields of tissue inflammation and fibrosis? Organ fibrosis is a global unmet
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TZ complexes, you are expected to determine the molecular structure and function of a TZ sub-complex consisting of 3-5 proteins. You will monitor the gating mechanism of TZ in cellular models such as
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close collaboration with a partner group at the Otto von Guericke Universität Magdeburg, characterizing, quantifying, and manipulating biofilm formation of a strictly anaerobic methanogenic model
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Vacancies PhD Position in Computational Biology: Digital Twins & Disease Modeling for Precision Osteoarthritis Treatments Key takeaways Osteoarthritis (OA) is a complex disease in which multiple
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tasks for the position The candidate will pursue research on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer
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Processing or a related field. A background in quantum mechanics and molecular dynamics studies as well as interest in multilevel molecular modelling techniques. Your education must correspond to a five-year
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(or equivalent) in biological sciences. Strong research background in cell biology, molecular biology, mouse models of cancer, and/or biochemistry. Prior experience in stem cells, vascular biology, 3D organoid
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the Otto von Guericke Universität Magdeburg, characterizing, quantifying, and manipulating biofilm formation of a strictly anaerobic methanogenic model organisms, in order to maximize terpene production
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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, making a new model which is suitable for a variety of polymer systems. This will involve integrating molecular dynamics simulations, electronic structure calculations, and machine learning techniques