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Field
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with Linux/Unix and HPC systems (SLURM) Experience with version control (Git/GitHub) Understanding of statistics for genomic analysis Preferred: Long-read sequencing analysis experience Proficiency in a
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-omics integration, or computational analysis. Experience with automated pipeline development, multi-omics dataset integration, and reproducible workflows. Advanced proficiency in R, Unix/Linux
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software for data analysis, construction of images and movies and data presentation is highly preferred: FIJI, Image J, R, MatLab, MecaGen, Linux, Illustrator, Photoshop, Excel, PowerPoint Good record and
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modern computing environments, including Python, Linux, and agentic workflows Strong analytical and writing skills as demonstrated by a record of publication in peer-reviewed journals. Experience working
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technical skills • Excellent spoken and written communications • Proficiency in MATLAB/Python and UNIX/Linux environments • Strong organizational skills Preferred: • Prior experience in vision research • fMRI
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across Linux and other operating systems. Experience integrating genomic data with structured clinical data and familiarity with clinical ontologies (e.g., HPO, SNOMED CT, ICD‑10). A solid understanding of
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working in a Linux-based high-performance computing environment. Prior experience with analysis of NGS and single-cell sequencing data, preferably experience with BCR and TCR sequencing analysis. Sound
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experience, preferably in Python or R, and experience in the Linux environment Solid publication record in peer-reviewed journals. Proficient in verbal and written English. Excellent teamwork
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, or computational analysis. Experience with automated pipeline development, multi-omics dataset integration, and reproducible workflows. Advanced proficiency in R, Unix/Linux environments, databases, and version
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, single cell and multi-omics data analysis, and a high-performance computing environment (Unix/Linux) is highly preferred. An individual with Next generation sequencing experience is preferred. A good