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, genetics, plant biology, or a related field, and have documented familiarity with computational analysis (Python or R and HPC environments), and a demonstrated, strong interest in genomics and/or polyploidy
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methods), Linux/HPC workflows, or multi‑physics simulation. Applicants should have (or expect to achieve) a strong degree, i.e., at least a 2.1 honours degree or a master’s (or international equivalent), in
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI), and Quantum Computing (QC) and their applications
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bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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scalable workflows that integrate physics‑based modeling with data‑driven approaches, while efficiently utilizing national and local high‑performance computing (HPC) resources. Essential Function Yes
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 29 days ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
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programming (Python, C++, etc.) and machine learning and signal processing libraries; You have HPC/GPU computing experience, including running deep learning workloads on compute clusters (CUDA-compatible GPUs
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calculations using all-electron codes (juKKR, FLEUR) on HPC platforms, manage and store data with AiiDA, and extract magnetic interaction parameters for coarse-grained spin models. To replace ad-hoc fitting, we