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Interactions external link groups, with close interaction with bioinformatics, microbial ecology and experimental crop research at the UU and NOAH partners. You will have access to Utrecht University GPU/HPC
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building tools for manual evaluation. Therefore, familiarity with typed query languages, GIS workflows, as well as high-performance computing (HPC) and agentic AI approaches would be beneficial. In addition
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building tools for manual evaluation. Therefore, familiarity with typed query languages, GIS workflows, as well as high-performance computing (HPC) and agentic AI approaches would be beneficial. In addition
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, training, performance evaluation, and validation; You have experience working in a high-performance computing (HPC) environment and are familiar with Linux/Unix systems, Bash scripting, Git version control
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mechanisms that exploit past errors, and evaluating resilience empirically on challenging benchmarks. The project team has access to the national computing infrustracture, and TU/e HPC cluster SPIKE-1 . Formal
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agents. Familiarity with responsible AI principles, including fairness, transparency, and data governance. Proven experience with supercomputing / HPC environments. Strong academic writing and
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engineering, data science, high-performance computing, and research infrastructure. You will work closely with the Intelligent Systems (INSY) department and collaborate with researchers, research engineers, HPC
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) department and collaborate with researchers, research engineers, HPC specialists, data engineers, and central ICT services. A key part of your role is ensuring the reliability and availability of specialised
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activities. Advanced programming skills (HPC), advanced mathematics methods, data analytics techniques and/or Earth system and climate modelling, as well as advanced AI methods. You should also have good