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                Employer- Technical University of Munich
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                Degree PhD or Dr rer nat Course location Göttingen Teaching language German English Languages Courses are held in English and German. The PhD thesis is usually written in English. Full-time / part 
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                Degree Dr rer nat (Doctor rerum naturalium) PhD (Doctor of Philosophy) Course location Ulm Teaching language English Languages Our international PhD programme is only offered in English. Programme 
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                promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried 
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                Course location Gießen Description/content A Structured PhD Programme Within a Cutting-Edge Research Environment At the GCSC, you will actively participate in a research-intensive environment from 
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                Degree Dr Course location Darmstadt Teaching language English Languages The programme is in English only. Participants have to write their doctoral theses in English. Full-time / part-time full-time 
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                insights into the dynamic distribution patterns of human tissue resident T helper cells across space and time. Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells T 
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                distribution within body organs. We are looking for a PhD student (m/f/d) to start at the TUM in September or later. Your Task From animals’ circulatory system to random porous media in fuel cells, morphological 
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                12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding 
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                13.04.2021, Wissenschaftliches Personal The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a 
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                quality control tools for distributed models, and iii) robustness to data and model poisoning attacks. In this context, we are looking for a PhD Candidate who has a strong background in machine/deep