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community. We are committed to excellence, providing unparalleled expertise, and maintaining a world-class standard in service. Please visit us at: https://fs.ucf.edu/ or Facebook and Instagram: UCF
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independent research to a high level. A working knowledge of R. and/or Python programming is desirable. The candidate will be based in the laboratory space in the School of Pharmacy, UCC, working with Professor
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to learn are essential. Solid programming skills in Python and/or R; experience with reproducible workflows (Git, Snakemake/Nextflow, containers) is a plus. Interest in cancer biology, tumor microenvironment
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(Python required; R, C++ appreciated). Strong interest in network modeling, multi-criteria optimization, or graph theory. Skills in statistics and data analysis. Experience in 3D modeling, phenotyping
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analysis using custom MATLAB or Python scripts. The candidate should also have broad knowledge in molecular and cell biology and biophysics. The responsibilities of the position are: (1) Manage and
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preferred licensure/certification?: Preferred Computer Applications: Microsoft Outlook Preferred Other Computer Applications: Adobe Photoshop, REDCap, EPIC/One Chart, R, Python Preferred Additional Knowledge
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or molecular/cancer/evolutionary biology) At least one first-author paper in a peer-reviewed journal Strong programming skills (e.g. R or python), experience with bash and a solid understanding of statistics
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-reviewed journal Strong programming skills (e.g. R or python), experience with bash and a solid understanding of statistics Experience with next generation sequencing Experience with using pipelines and
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-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in R or Python). Good-to-have: You have worked with large-scale text data, natural
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player