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Field
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Helsinki Proteomics Center (HPC), Finland's national proteomics infrastructure. Our research group is located next to the HPC, giving our projects direct access to extensive, state-of-the-art
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discipline. ● Experience: ○ Expertise in computational science ○ Proficiency in Python ○ Experience with high-performance computing (HPC), with GPUs preferred ● Related Skills and Other Requirements
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-contact data, scRNA-seq, scATAC-seq, cancer genomics, structural variation, R, Linux/HPC, version control, and reproducible workflows. Requisition ID: 26445 Apply now
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campaigns on HPC resources using Python-based scientific workflows. Publish results in peer-reviewed journals, present findings at international conferences and contribute to the supervision of Master’s
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/Responsibilities: Work closely with members of NTI and CNMS to develop HPC workflows that can perform multi-fidelity simulations to predict and interpret a wide range of structural and electronic characterization
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the needs of the team and the organization. You will Build detailed multiphysics models using LLNL-based codes and simulation tools. Run your models on some of the largest HPC clusters in the world
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the needs of the team and the organization. You will Build detailed multiphysics models using LLNL-based codes and simulation tools. Run your models on some of the largest HPC clusters in the world
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. Experience building reproducible workflows and analytical pipelines, ideally using HPC or cloud computing environments. (For a full list of essential and desirable criteria please refer to the job
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downstream statistical inference. · Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters. · Managing and analyzing multiple large
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and