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manufacturing, design for sustainability and robust design and optimization into your research. The position has a clear focus on computational approaches. You will use scientific and high-performance computing
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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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IMADA uniquely brings mathematicians and computer scientists together within a single department to foster theoretically well-backed, high-quality data science research. The department is home to numerous
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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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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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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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with high international impact. We perform world-class research, which contributes with solutions to solve essential societal challenges within the green transition: food production and veterinary
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scripting (R, Python) and programming. Experience with High-Performance Computing (HPC) environments and the management/analysis of large datasets. The ability to communicate effectively in English (both
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, computer science, bioinformatics, computational biology or biostatistics Proven expertise in machine learning applied to molecular or other high-dimensional data Experience working with IBD or other immune-mediated
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interested in applicants with experience in either (i) high-performance magnetohydrodynamic simulations or (ii) the analysis and imaging of Very Long Baseline Interferometry data, but outstanding candidates