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of model and non-model plant species, within the framework of the ERC-COG-101126022” Improving plant immunity by synthetic exploitation of the ubiquitin system (SynUbL)” Where to apply Website https
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administration (~30%), collaborative work and staff-assisted usage (~20%), equipment maintenance (~10%), and community engagement (~5%). Full job description available here: https://acrobat.adobe.com/id
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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(HPC) for biological simulations and analyses; multimodal data integration and analysis; new approach methodologies (NAMs). Precision Medicine and Biomedical Data: spatial transcriptomics and spatial
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for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists and data stewards - who support and collaborate in
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for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists and data stewards - who support and collaborate in
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) Where to apply Website https://recrutement.univ-lr.fr/filo2/login Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications We are seeking a highly-motivated
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troubleshoot HPC systems and services, including Kubernetes, OpenStack, on-prem and off-prem cloud environments, and others, with a focus on supporting scientific research needs. They will collaborate with
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active role in shaping what HPC resources are available, who can access those resources, how to get data to those resources, and how research is conducted, with careful consideration of security