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for reading scientific literature and international communication. - Experience with high-performance computing (HPC) environments and Linux systems. LanguagesCATALANLevelExcellent
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Your Job: In this position, you will work in an interdisciplinary team of experts in HPC, ML, and biomedicine. You will contribute your individual strengths while also developing in adjacent fields
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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
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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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, 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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, high-performance computing (HPC), and computational sciences. Major Duties/Responsibilities: Participate in: (1) design and implementation of scalable DL algorithms for atomistic materials modeling
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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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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing (HPC
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projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow capabilities such as on-system