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Field
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useful for scientific interpretation. - Unix/Linux: Expertise in Unix/Linux environments, including file system management, shell scripting (Bash), and the optimization of simulations on supercomputer
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potentials or force fields (for example MACE, NequIP, DeePMD). ● Experience running scientific calculations on Linux-based high-performance computing clusters, including scripting or workflow automation
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computing tools in a Linux or Windows environment. Experience with scientific data visualization and preparation of figures for presentations or publications. Graphic design experience and the ability
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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programming skills in R. Proficiency working within UNIX/Linux environments. Preferred Qualifications Experience with Bayesian statistical methods. Experience with hierarchical modeling and mixed effects models
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). Candidates must have excellent quantitative, writing and communication skills. Expertise in R, Matlab programming, Linux computing, and familiarity with neuroimaging software tools (FSL, AFNI, SPM) is
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NVIDIA BlueField, AMD Pensando or similar. Driver Development: Develop and optimize Linux kernel modules and userspace drivers (DPDK) to manage flows. Hardware/Software Co-Design: Collaborate with optical
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or similar is therefore required • A substantial fraction of the technical part will be handled on high performance computers and the AI supercomputer GEFION, all operated in a Linux Environment. Documented
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assembly, annotation and phylogenetic or pangenomic analysis, and be confident working in Linux and high-performance computing environments using R, Python, or equivalent tools. You will also need a strong
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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