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the Linux command line, bash scripts and HPC Desirable but not required/ Nice to have / Will have to learn Experience analysing several NGS applications as RNA-seq, WGS, WES, ATAC-seq, scRNA-seq Proven
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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, QC, IBD, PCA. Knowledge of association analyses, PRSice, MAGENTA, Mendelian Randomization, MANTRA, Coloc, QTL and Unix/Linux. Preferred Qualifications Education: Master's degree, Ph.D. - Doctor
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SQL queries. Knowledge of Linux virtual machines and SSH. Knowledge of Javascript, Angular, React, NodeJS, JQuery; HTML, CSS, JSON; PHP and WordPress/Omeka. Ability to manage projects and repositories
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. The candidate should be able to use their meteorological knowledge to identify weather and natural hazards from satellite imagery. The candidate should be sufficiently comfortable in the Linux or MacOS
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C++ or MATLAB are an advantage) Experience with Linux-based computing systems and computing clusters is desirable Interest in interdisciplinary research at the interface of physics, data science, and
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systems control Matlab and ROS software instrumentation and mechatronics Ability to work in: Windows Linux embedded systems environments planning and conducting a design of experiments Strong teamwork
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apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7638-ARNBEC-003/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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to take part in publications as a research engineer. Provide one-on-one and group research support from a software, programming, Linux, data, and infrastructure perspective: short-term projects helping
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · research and development of methods for acceleration of parallel applications in the High Performance