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candidates to apply in stage one or stage two to have sufficient time for visa applications and other arrangements. Additionally, all financial aid for PhD programme students may be awarded during the first or
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You will drive forward the application of oxyfuel combustion as an efficient measure for carbon capture. Together with the UMSICHT team and our project partners, you will create solutions for climate-positive and CO2-negative processes. What you will do Optimization of the pilot plant for the...
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within three years. Application deadline https://www.en.transformationsprozesse.volkskunde.uni-muenchen.de/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint
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in analytical theory from Nancy and the long-standing experience in sophisticated computer simulation studies from Leipzig, promising unique prospects in advanced education of PhD students via research
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attended at any time during the three/four years of the PhD programme. In the monthly SGBM seminars, students present their results and learn to discuss them in a multidisciplinary context. Students meet the
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fees at GJU (min. three semesters), please visit this website and/or contact GJU. Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The PhD
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between May and December. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The International Max Planck
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participation in the scientific affairs of the faculty or the Geoscience Centre, students acquire knowledge and skills that go beyond a curricular programme of study. Course organisation The focus of the PhD
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advance. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content This PhD programme is offered to candidates from
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages