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Field
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Kohlenforschung, Mülheim/Ruhr Ruhr University Bochum University Duisburg-Essen Teaching language English Languages The doctoral programme is conducted entirely in English. Full-time / part-time full-time Programme
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Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory mechanisms. Motivation and strong analytical and
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Mechanical, Production, Materials, Industrial or Robotics Engineering, Computer Science, or related discipline, or a similar degree with an equivalent academic level. Application procedure To apply, please
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the mechanisms and develop innovative therapies and diagnostic methods for cancer, diabetes, neurodegenerative diseases, neurological disorders and other civilization diseases. In addition to basic biological
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for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: MSc degree in the fields of biophysics, soft matter physics, physical chemistry, computational chemistry, statistical mechanics
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processes, preferably HTPEM fuel cells. Proficiency in relevant computational tools, such as COMSOL Multiphysics. Familiarity with degradation mechanisms and the transient behavior of PEM fuel cell stacks is
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prodromic stage of PD. Despite this, the mechanism underlying PD-related cardiac ANS degeneration is unknown. The Ala30Pro (A30P) missense mutation in the alpha-synuclein protein is a genetic risk factor of
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stable operation under reactive capture conditions. Unravelling reaction mechanisms and catalyst structure-performance relationships using advanced characterisation techniques and computational tools
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding