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medicine. What can be funded? Research visits for postdoc Chinese scientists and researchers. Duration of the funding 3-12 months Value Monthly scholarship rate of 2.100 EUR Combined health-, accident and
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The programme is...
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Type D – Senior Scientists: 1 to 3 months Type E – Visiting Researchers PhD/Postdoc Level: 1 to 6 months Value Type A – Graduate Students (Research in Germany): monthly instalment of 992 euros; plus e.g
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project in Germany as part of your fellowship; if you are a postdoc, long-term academic research (12-24 months). It should focus on combating climate change, adaptation strategies, preserving ecosystems and
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; Bachelor's students and postdocs cannot receive funding. Duration up to 6 months Scholarship Value individual financial support, but limited to 10,000 EUR per request Application Papers Application forms and
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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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intended stay at the Institute copies of university transcripts and proof of language competence (proficiency in English is required) 2 expert opinions Please apply via the online application portal: https
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challenges, the school provides a wide variety of topics, from logic in autonomous cyber-physical systems to machine learning in Earth System models. You will have one supervisor from the mathematical sciences
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programmes of young researchers. Who can apply? Very well-qualified doctoral candidates and postdocs who completed their doctoral degree no longer than 12 years before this call for applications. What can be
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and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team