176 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Germany
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developed into its vibrant center. The newly DFG-funded Research Training Group “Biomolecular Condensates: From Physics to Biological Functions” (RTG 3120) at TUD Dresden University of Technology offers
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to collaborate closely with existing structures, such as the FAU Competence Center Engineering of Advanced Materials (FAU EAM), the Erlangen National High-Performance Computing Center (NHR@FAU), the FAU Data
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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You are familiar with high vacuum technology: diverse flange systems, pumps, and leak testing You work independently in the lab as well as in managing projects You can work hands-on and know how to use
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specifically 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
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courses or doctoral candidates Selection Selection is made by the National Science and Technology Council - NSTC Further information National Science and Technology Council - NSTC https://www.nstc.gov.tw
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21 Feb 2026 Job Information Organisation/Company ESO - European Southern Observatory Research Field Physics Technology » Space technology Researcher Profile Leading Researcher (R4) Established
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optimization of technical processes and products. We present the exciting range of applications of our collaborative software development MESHFREE: https://www.meshfree.eu/ Currently, our team is working
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning