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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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regional excellence with the aim to trigger synergies. The PhD scholarships by Munich Aerospace are designed to allow junior scientists to fully focus on their research work and obtain their degrees in a
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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. The PhD project will be in collaboration with the Leigh lab at Senckenberg, and part of a team of four complementary PhD students in FynFUN. It will be embedded in the TERRA Cluster of Excellence and
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well as eastern and south-eastern European (EU) countries. Eligibility criteria include an excellent academic record and voluntary social and political involvement. PhD students receive material and non-material
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available in the further tabs (e.g. “Application requirements”). Objective A cooperation agreement on the joint training and education of PhD students has existed between the Chinese Academy of Sciences (CAS
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-time work. The position includes the opportunity to pursue a doctorate (PhD) at TU Clausthal. With these positions, we invite YOU to join our team, which is working in close collaboration
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to contribute to sustainable development. To this end, scholarships are granted for development-related PhD studies for individuals who plan to pursue a career in teaching and / or research at a higher education
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line for students, PhD students and researchers with refugee status and funding line for persecuted and endangered PhD students and researchers Number of Scholarships 60 Duration 12 months Scholarship