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world through science and research by use of computational tools such as scientific computing, High Performance Computing (HPC), Big Data (Spark, DBMS), Machine Learning, cloud computing services (AWS
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Performance Computing Systems (HPCs). Experience in setting up servers for Bioinformatics usage, including Bioinformatics Software installation in the context of HPCs. Fluency in the English language Desired
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
academic partners. Access to HPC (https://escience.sdu.dk/index.php/ucloud ) and extensive bulk / sc / sp omic datasets. A unique position working at the intersection of microRNA and mRNA target discovery
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included by harnessing high-performance computing (HPC) and employing novel multiscale methods that enable seamless propagation of ultrasound from the macro to microscopic level. The proposed framework will
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developed. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2025/012749 Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent
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to state-of-the-art HPC and ML facilities via the de.NBI Cloud and the Jülich Supercomputing Center. The possibility for participation in the Helmholtz Data Science Initiative and Helmholtz AI. Strong
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resources, including group-owned HPC clusters with PB-scale storage. Opportunities for professional development and international collaboration. How to Apply The University only accepts online application
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. Strong practical skills in high-performance computing (HPC) environments, including job scheduling and performance optimization on computing clusters. Knowledge of Bayesian statistics and its applications
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Susceptibility Unit. To find out more, visit our website: https://www.odap-ico.org About the role We are looking for a highly motivated researcher in data science, bioinformatics, biostatistics or related
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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