19 assistant-professor-electrical-engineering-"https:"-"https:"-"https:" Fellowship positions in Germany
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The Käte Hamburger Centre for Cultural Practices of Reparation (KHK CURE) at Saarland University (UdS) is an institute for advanced study, funded by the German Ministry for Research, Technology and
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sciences and non-university research institutes in Germany. Who can apply? Highly qualified Chinese scientists and researchers in the fields of natural sciences, mathematics, engineering, agriculture and
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Max Planck Institute for the History of Science, Berlin | Berlin, Berlin | Germany | about 2 hours ago
. Applicants (m/f/d) should demonstrate their commitment to a research topic related to the history of science, technology, and medicine, or science and technology studies, and a need to work with an
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follow-up studies in higher education and school contexts. The successful candidate will work closely with Dr. Babette Bühler, future Tenure-Track Professor of AI in Education, Prof. Dr. Ulrich Trautwein
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available in the further tabs (e.g. “Application requirements”). Programme Description The Indo-German Science & Technology Centre (IGSTC), established as a joint initiative of the Department of Science and
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on an individual basis. Each fellowship announcement will indicate the specific qualification requirements and terms of visit. What can be funded? The current offers are published under DLR-DAAD Fellowships
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research, the programme encourages technology transfer, real-world applications, and engagement with innovation and startup ecosystems. By connecting global talent with leading research, industry, and
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: they should typically be working at least at the level of assistant professor or junior research group leader or be able to document independent research work over a number of years (Exception: Researchers from
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medicine or for an MSc or PhD (or equivalent) in medical engineering, applied medical sciences, or public health. It funds students from Germany who wish to carry out research stays, internships or part of a
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Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and