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familiarity with Linux-based environments or reproducible data analysis workflows would be advantageous. Additional information: Salary on appointment will be within the range £37,500 to £45,350 per annum
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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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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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Master’s degree in informatics, computer science, bioinformatics, or related Fluent in English, for both written and oral communication Experience in Python and/or R Experience with Linux/bash Experience
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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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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. 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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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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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