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Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https://destine.ecmwf.int /), where INAR is a contributing member. The Climate DT project is setting up an operational simulation
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and data analysis within an academic setting. More info on the research we conduct can be found here: http://molonc.bccrc.ca/ Organizational Status Working in a research software development team
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computing environments, e.g. HPC cluster (CPUs and GPUs) or cloud. Proficiency with high-performance computing and system architecture. Advanced knowledge relating to highly complex database system design
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contributions. This is your chance to develop your HPC research skills and cutting-edge engineering, while contributing to a project that will redefine the landscape of computing. Join our team of researchers and
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single-cell and bulk omics analysis, microbiome and metabolome integration, and development of web-based bioinformatics tools and expertise in epigenomics, R/Python, and HPC. A Ph.D. in bioinformatics
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conferences, and contribute to practice-oriented outputs and knowledge transfer activities within the NRO consortium. Where to apply Website https://www.academictransfer.com/en/jobs/362497/postdoc-in-ai-driven
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Python, ML, and AI for chemical applications Preferred: Familiarity with HPC systems Proven track record of research in ML/AI for chemistry Strong coding foundation (Python) Knowledge of C++ and CUDA
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initial contract of two years Background The post-doctoral researcher/university researcher will be working on the EU’s Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https
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factor analysis. Develop robust, shareable bioinformatics pipelines for epidemio-genomic and phylogenomic analyses using genomic & metagenomic datasets and implement them in high performance computing (HPC
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management in a HPC environment. The doctoral researcher will work as part of the dynamic meteorology group at INAR , and be supervised by Dr. Clément Bouvier. The group covers a range of topics including