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Field
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. A university degree in computer science, mathematics, or a related field Was Sie erwarten können You will work at a renowned, internationally leading institute in the field of cybersecurity. You will
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, mathematical modeling and network analyses. Possible areas of application include epigenetic regulatory mechanisms, mutational effects in DNA and RNA regulation, the characterization and design of nucleic acid
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Description The Karlsruhe Institute of Technology (KIT) and the University of Stuttgart offer within the German Research Council (DFG)-funded Research Training Group (RTG) 3076 “Sustainable hydrogels: From chemical structures to applicability (SusGel)” 9 PhD positions (doctoral researchers...
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, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods #excellent knowledge in UNIX/Linux and Unix-Scripting #very good knowledge in programming
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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the research landscape of Göttingen. The excellent biological, ecosystemic, environmental and mathematical research in Göttingen is reflected in this PhD programme. Sub-programmes: bioinformatics (computational
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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics
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fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content PhD in Mathematics Our Graduate School is organised
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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within a few months), for example in economics, social science or related field Excellent mathematical and analytical skills from fields such as mechanism design and optimal taxation Familiarity