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) Application Deadline 6 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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/ coarse- grained approaches) Experience with enhanced sampling techniques; computational biophysics/chemistry Usage of high-performance computing clusters, preferably GPU-based computing Proficiency in
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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based on academic background, match between research goals and the mentor for training and career development and fit of their research plan to the goals and mission of the T32 program to train a high
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. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures. Conduct research in related areas of battery
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collected from these evaluation methods to initiate subsequent trials; assist in normal lab and mouse colony maintenance and organization, supervise other technicians and undergraduate students; and perform
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, executing software, developing and running workflows. Knowledge of R. Familiar with high-performance computing infrastructure. Experienced in Nextflow/Cromwell or other pipeline tools. Able to critically
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Python and experience working in Linux and high-performance-computing environments. Experience developing or using automated and reproducible computational research workflows. Ability to conduct
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, addressing practical challenges in flow distribution, heat and mass transfer, sealing, reproducibility and stable operation. Translate device concepts into CAD models and engineering drawings, and coordinate