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HPC, bwHPC cloud, secure pipelines). Design cross-site preprocessing and harmonization pipelines for multi-omics and functional drug screening data. Collaborate closely with European partners
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, reproducible computational workflows for large-scale screening and multiscale model integration. HPC at Scale: Run, optimize, and profile large simulations on HPC systems; ensure efficient parallel performance
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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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Description The NHR Graduate School for HPC Talents 9 Ph.D. scholarships for HPC, Numerical Simulations, and AI/ML projects The NHR Graduate School seeks qualified applicants interested in pursuing
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consulting on High-Performance Computing (HPC). The position offers compensation at pay grade E11 TV-L, which is a senior specialist level under the German public sector collective agreement. As a dedicated
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fundamentals and hands-on experience with HPC systems; parallel/distributed programming and/or solid UNIX skills Proven experience operating Machine Learning (ML) in production. Able to design, automate, and
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(bulk and single-cell) Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake) To work accurately and being
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technologies, high-performance computing Infrastructure and Systems Management: Testing, installation, configuration and maintenance of project-specific hardware and software, incl. on the HPC-system
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
-throughput sequencing data (e.g., RNA-seq, CLIP-seq, or epitranscriptomics) Familiarity with cloud computing and high-performance computing (HPC) environments Strong analytical and problem-solving skills with
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include experience with high-performance computing (HPC), initial experience with ecosystem models, willingness and ability to actively contribute to interdisciplinary teams, knowledge of climate-relevant