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infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core Research Back Profile Areas Cluster of Excellence
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persons Research Back Research infrastructure Back Digital Humanities Center LISA+ Quantitative Biology Center (QBiC) Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core Research Back
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programmes, guidance, and support to researchers during the early stages of their career. GRADE sets standards for structured doctoral education and supports junior researchers from all faculties. It follows
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://www.enwat.uni-stuttgart.de/application/ Course organisation The programme is structured into two phases: First phase (one to two years): attending courses (at least 9 to 18 ECTS), preparing your research topic
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systems as intelligent biomaterials and biosensors Assembling cells into multicellular structures and tissues (e.g. 3D printing of cells) Interfacing biomolecular systems with solid-state technology
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assist the research progress of doctoral students towards graduation without delays, thus ensuring an optimal graduation time of four years for PhD candidates. Because of the close ties with the research
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. Annual reports guarantee an optimal supervision of the progress of the projects. Scientific retreats, international meetings, exchange programmes, and journal clubs will complete the programme by giving
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. Our doctoral candidates benefit from a structured training programme of courses and research seminars / colloquia, which provide them with the tools to complete their doctorate in line with the highest
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and simulation tools. Research topics include geometric modeling of engineering products, methods of geometric analysis, methods of Building Information Modeling, modeling and simulation of construction