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techniques targeting these codes. Our aim goes beyond raw performance tuning; we use a multi-disciplinary approach to redesign key algorithms for modern HPC architectures while establishing energy efficiency
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to the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability with
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to establish a low-emission, end-to-end pathway for converting challenging scrap streams into high-performance aluminium alloys. CLEANMAT — About the Horizon Europe Project on Clean Aluminium Material Processing
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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interaction, electronic health record data, or large-scale biobank resources. Experience with high-performance computing, reproducible workflow development, scientific manuscript preparation, or collaborative
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population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems Demonstrated proficiency in R
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analytics to accelerate vaccine discovery. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high
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results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing environments Collaborate closely with experts in
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, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative fields are encouraged to apply. The Research
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, etc. - ML-augmented numerical method development. - High-performance computing (HPC). - Quantum algorithm design. - Error correction or error mitigation. City