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computing runtime with application and compilers to efficiently integrate quantum processors with HPC resources. The research will explore different quantum computing modalities, their architectural
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experiment at CERN. Together, the groups offer an international environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local
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of seismo-acoustic wave propagation in 2 coastal environments with different environment properties, by relying on HPC and a full-wave method (spectral-element method) implemented in the SPECFEM3D code
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, with close interaction with bioinformatics, microbial ecology and experimental crop research at the UU and NOAH partners. You will have access to Utrecht University GPU/HPC infrastructure and large
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Interactions external link groups, with close interaction with bioinformatics, microbial ecology and experimental crop research at the UU and NOAH partners. You will have access to Utrecht University GPU/HPC
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architectures. Knowledge of job scheduling tools such as Slurm or PBS for submitting and monitoring large-scale simulations. - High-Performance Computing (HPC): Proficiency in high-performance computing to run
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implementation in FEniCS/FEniCSx/ABAQUS UEL,UMAT. Strong publication record in mechanics, materials, applied mathematics, or related journals. Proficiency with HPC, parallel solvers (PETSc), and version control
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generation, conversion, and utilization in different electro- and thermo-mechanical systems where the study of heat transfer, fluid mechanics, reactive flows, as well as solid mechanics plays a central role
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and students with a background in a number of different disciplines, including biology, molecular biology, statistics, chemistry, and computer science. About the research project We are seeking a
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variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics