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Field
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of computational scaling and efficiency for large-scale HPC environments. Strong background in materials science with an emphasis on phase transformations and mechanical behavior of structural materials. Familiarity
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multidisciplinary team of scientists and High Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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exceed 15% of gross income. Access to state-of-the-art facilities and resources, including group-owned HPC clusters with PB-scale storage. Opportunities for professional development and international
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-performance computing (HPC) environments and large-scale numerical codes for space plasmas; proficiency with scientific programming (e.g., Fortran/C/C++/Python) and Linux is an advantage Experience with data
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and with experimental partners in the project consortium led by AINIA research centre in Spain. The postholder will have access to state-of-the-art high-performance computing (HPC) resources and will
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coastal hub. Read more about working at Chalmers and our benefits for employees. AIMLeNS offers: Access to state of the art HPC computing facilities (BerzeLiUs, Alvis) Mentorship for career development
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, potentially in combination with artificial intelligence and high-performance computing (HPC) technologies. In particular, you will apply (hybrid) quantum computing solutions to EO use cases for which current
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. Integration & automation: connect the optimiser to existing simulation pipelines (DFT → TB/Wannier → transport), ensure provenance and reproducibility, and scale runs on Linux/HPC. Benchmarking & ablations: set
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consortium led by AINIA research centre in Spain. The postholder will have access to state-of-the-art high-performance computing (HPC) resources and will work alongside experts in both computational and
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from biobank studies (e.g., UK Biobank, China Kadoorie Biobank) and a familiarity with command-line environments, high-performance computing (HPC) environments and pipeline execution on compute clusters