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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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fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and parallel computing. Familiarity
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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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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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. Applicants with complementary backgrounds and a strong interest in expanding their expertise in insect ecology, microbiome analyses, shotgun meta-genomics, microbial functional annotation, and high-performance
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, supportive, and high-performing work environment. We expect you to be fluent in oral and written English. International applicants are expected to learn Danish, and Aarhus University arranges Danish teaching
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environments, scripting/programming (R, Python and Bash), high-performance computing and development of reproducible analysis pipelines. Demonstrated ability to independently develop, modify and troubleshoot
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computational model outputs and evaluating model performance using appropriate quantitative methods. We expect you have the ability and willingness to collaborate closely with agent-based modellers, experimental
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in organic molecules, inorganic materials, and hybrid organic-inorganic compounds. While its primary focus is on high-throughput structure determination of micro-crystals, the beamline has been