590 postdoctoral-position-in-molecular-dynamic-simulation-self-assemble-polymer PhD positions in Germany
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- TRON – Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz •
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have
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biomedical engineering, bioinformatics, biotechnology, molecular imaging and biomaterials. Training within the RegSci PhD programme takes place across three levels: students carry out their own research
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environment and an excellent working atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data
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oldest Protestant university in the world. It has been a place of research and teaching for nearly five centuries. Currently, approx. 21,200 students are studying in Marburg, and international students
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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The main focus of the Collaborative Research Centre (CRC) 1123 Atherosclerosis – Mechanisms and Networks of Novel Therapeutic Targets is to study in depth the molecular networks in atherogenesis
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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programme's objective is to investigate the complex interactions between host and pathogen as well as carry out basic research with the combined tools of immunology, cell biology and molecular biology. 20
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, large data sets for each individual patient are already routinely collected and systematically recorded. A further increase in complexity is expected in the coming years due to increasing use of molecular