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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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approaches to biological systems. Candidates will complement this research with their research programme in theoretical biophysics – at scales from molecules to cells to organisms – or related areas, including
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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25 Feb 2026 Job Information Organisation/Company Constructor University Bremen gGmbH Department School of Science Research Field Computer science Researcher Profile Recognised Researcher (R2
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25 Feb 2026 Job Information Organisation/Company Constructor University Bremen gGmbH Department School of Science Research Field Computer science Researcher Profile Recognised Researcher (R2
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integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational resources, including access to top European supercomputers on site
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international project partners, embedded in an ERC-funded project. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which
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scholarships, visit: http://www.bgse.uni-bonn.de . Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Bonn
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Degree Dr rer nat Course location Bonn Teaching language German English Languages Courses are held in English. Workshops are held in English (80%) and German (20%). Programme duration 6 semesters