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(including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76369
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protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/tu-dresden/arbeiten-an-der
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. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish research in both academic and non-academic audiences. Attend and participate in academic and non-academic
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existing methodologies. Carry out literature review, hypothesis development, and experimental design. Adapt, develop and learn new tools, software, and methodologies independently. Present and publish
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) Green Mobility Top Up (Support for climate-friendly travel) or reimbursement of carbon offset payments for air travel To enable scholarship holders to learn German in preparation for their stay in
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Program are intended for students who wish to obtain a doctoral degree and who are motivated to carry out translational research. The following projects are open for applications: 1. “Enhancing CAR-T
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knowledge of machine learning (e.g., in the areas of object detection and identification, generative AI, etc.) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min
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to teach in German and English We offer: opportunity to work in an international environment participation in scientific exchange programs and short research stays abroad membership in the Graduate Academy
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expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and willingness to cooperate, very good verbal and written English communication skills as well as the absolute
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on documents, deadlines, conditions, etc. Applicantions must be submitted both via DAAD Portal and ANID Portal. For further information please follow the link below: https://anid.cl/concursos/doctorado-becas