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. Computational ressources, including the GenomeDK high-performance computing cluster, with growing capabilities such as high-memory nodes and state-of-the-art GPUs. An interdisciplinary interdisciplinary
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high-performance computing, automated workflows and reproducible data analysis; proficiency in Python or a comparable language is expected. A publication record appropriate to career stage that
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University of Southern Denmark (SDU) Location Odense, Fyn (DK) Salary Competitive Closing date 7 Sep 2026 View more categories View less categories Discipline Computing , Life Science Job Type Postdoctoral
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facilities for developing hyperspectral imaging instrumentation, advanced analytical laboratories, and high-performance computing resources for data processing and model development. You will collaborate
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-based surrogate models. Experience with high-performance and parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two
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experience and the opportunity to work across two leading labs in plant genomics and AI. Computational ressources, including the GenomeDK high-performance computing cluster, with growing capabilities such
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Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible data analysis
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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
experience with computational fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and
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; Strong programming and scripting skills, preferably in Python, and experience with computational workflows and high-performance computing (HPC) environments; A strong track record of publications in
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ecology, microbiome analyses, shotgun meta-genomics, microbial functional annotation, and high-performance computing are encouraged to apply. Who we are The Department of Ecoscience at Aarhus