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/or QGIS) Very good English language skills, both written and spoken Basic knowledge of the German language or the willingness to acquire it for the purpose of knowledge transfer Openness, creativity
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Systems offers a full-time position as Research Associate / PhD Student (m/f/x) E-Sailors - Electric solar wind Sail doctors (salary according to MSCA regulation) starting November 1, 2026. This project has
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 6 hours ago
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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. Michael W. Friedrich (phone: +49 421 218-63060 / e-mail: [email protected] How to apply: Please send your application with your complete documents (cover letter, your CV, copies of transcripts
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selection procedure and for questions about the content of the advertised position, please contact: Dr. Karen Krüger (phone: +49 421 218-63067 / e-mail: [email protected] ) How to apply: Please send
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welcomed. The project sits at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development. Tasks of the PhD Student - Develop and
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 1 month ago
) for Functional Material Design in Summer 2027! We are recruiting doctoral candidates to help shape a resource-efficient future. The candidates will work on individual projects exploring how we can learn from
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of the development of peace education and the learning of constructive conflict resolution skills in higher education internationally. This will include identifying and systematically analyzing university curricula
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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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of recommendation in one PDF document. Please send these under the subject “PhD Theory of Physical Learning” by e-mail to Prof. Dr. Karen Alim ([email protected]) latest by 10.09.2026. She will also be happy to provide