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datasets High proficiency in data analysis and statistical programming using R and/or Python. Experience working in high-performance computing (HPC) environments for large-scale analyses and with workflow
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) Positions Postdoc Positions Application Deadline 7 Oct 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Dec 2026 Is the
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main tasks will consist of: Independent research of high international quality, including publication. As a postdoc you will perform cutting edge research using technologies such as spectral flow
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defects to both lattice thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible
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Knowledge of multi-omics integration and plant biology is an advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively
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including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance. Collaborate with researchers and industrial partners, contribute
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pragmatic, iterative mindset - prioritising what works empirically and is testable over purely theoretical correctness. Valued: Experience with high performance computing (HPC). Prior exposure to mass
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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or similar is therefore required • A substantial fraction of the technical part will be handled on high performance computers and the AI supercomputer GEFION, all operated in a Linux Environment. Documented
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well-known for its skilled and very innovative interdisciplinary research environments with high international impact. We perform world-class research, which contributes with solutions to solve essential