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- experience with HPC clusters, parallel or distributed computing - German language skills We offer - a cutting-edge research environment at PETRA III imaging beamlines - collaboration with leading institutions
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well as with Prof. Franziska Lechner-Meichsner (University of Wuppertal), who is conducting a parallel, comparable study in Germany. Where to apply Website https://www.academictransfer.com/en/jobs/359993/postdoc
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measurements, and simulation results Integrate data engineering workflows with HPC-based simulation environments Optimize and parallelize software solutions for execution on one of the world’s most powerful and
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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and manage high‑throughput workloads on HPC or cloud infrastructure, including parallelization, traceability, reporting and workflow orchestration through Nextflow. Collaborate with data/AI engineers
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will encourage their implementation, especially by using parallel computing. * Assigned department Existing departments [Work location] * Address 606-8501 Kyoto Minato Laboratory, Graduate School
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understanding of how emerging traffic patterns will influence future spectrum usage and infrastructure requirements. In parallel, standardization bodies are proposing new architectural solutions to address both
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interests, you will have the opportunity to work with: High‑throughput functional genomics: pooled CRISPR and base‑editing screens, barcoded overexpression libraries, massively parallel reporter assays
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of approximately 5,000 students in occupational/technical programs and university-parallel/college transfer programs. This is a Full-time Program Specialist position for the Public Safety programs including
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depositing and fabricating thermo-electric devices onto non-planar metallic substrates. In a parallel track, the team will develop techniques for the design and manufacture of the structures with predictable