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Degree PhD Course location München In cooperation with Find out about our network of collaborating research institutions at https://www.gsn.uni-muenchen.de/research/network/index.html . Teaching
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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embedded in the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) (http://www.logdynamics.de ). LogDynamics is a cooperative network of research groups from five different departments
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on the research focus "Resources and Sustainability". The research focuses on the interface of human-environment research. The general theme associates process mapping and modelling, creation of material balances
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systems and basic knowledge in information theory ▪ Proficiency in at least one programming language (e.g. Python) ▪ Interest in AI‑based attack models and security research The following points
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are interested in combining disciplinary knowledge with the skills of a data scientist and working at the interface of bioinformatics, medical informatics, databases, data mining, machine learning, applied
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and with human activity. PhD researchers participate in ongoing research comprising field observations, method development, experiments and modelling. The PhD programme is thus an excellent starting
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that each student can choose individually to improve knowledge and methodological skills directly related to the PhD project 120 ECTS within the scope of the research project, including two study blocks in
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doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as well as cooperation of science and economy. GSaME
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; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods to deal with high-dimensional, often noisy, data sets; and mathematical modelling