189 engineering-computation "https:" "https:" "https:" "https:" PhD positions in Germany
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, biochemistry or engineering are encouraged to apply to our educational training programme where cutting-edge research is conducted within our 50+ RESOLV affiliated PI and PS groups located in the Ruhr region
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Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
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23 Feb 2026 Job Information Organisation/Company Chemnitz University of Technology Department Institute of Chemistry Research Field Chemistry » Organic chemistry Chemistry » Reaction mechanisms and
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date (mobility rules of the Marie Skłodowska-Curie program) Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Coursework in
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/ double degree programme No Description/content The Berlin International Graduate School of Natural Sciences and Engineering (BIG-NSE) is an international doctoral programme that was established in May 2007
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of the University of Bremen: Production Engineering, Business Studies / Economics, Mathematics / Computer Science, Physics / Electrical Engineering, and Law. Associated partners are the BIBA – Bremer Institut für
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Join the Cluster of Excellence "BlueMat: Water-Driven Materials" (https://www.tuhh.de/bluemat/homepage) and contribute to one of Europe's most exciting research initiatives. Collaborate with a
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University – Career Service: https://www.uni-heidelberg.de/studium/imstudium/careerservice/ Equal Opportunity The Karlsruhe Institute of Technology and Heidelberg University are dedicated to create equal
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for doctoral students (HITEC): https://www.hitec-graduate-school.de/home FAIR REMUNERATION: Remuneration is part of the EU funding program ‘Marie Sklodowska-Curie’ and depends on the personal requirements
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM