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Field
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization
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defects to both lattice thermal transport and ion migration in solids. Strong scientific programming skills and experience with Linux-based high-performance computing, automated workflows and reproducible
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epigenetics, methylation analyses, olink-proteomics. Shot-gun-proteomis, and you should have knowledge and experience using both R and Linux-based pipelines, and be good in bioformatics and data analyses. You
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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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, validation, calibration, and inference. Working with large, longitudinal, structured and unstructured datasets in Linux and high-performance or GPU-accelerated computing environments. Applying rigorous methods
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. Proficiency in R and/or Python and experience working in Unix/Linux computational environments. Familiarity with statistical methods for genomic data analysis, including differential expression, clustering
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programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high-performance computing. Excellent analytical
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implementation tools used in autonomous robots and embedded systems (e.g., C, C++, Linux, MATLAB, Python, Robot Operating System, Gazebo Physics Engine Simulator) is required. In compliance with NYC’s Pay
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bioinformatics tools in Linux-based or high-performance computing environments. The Postdoctoral Scholar will also perform microbial and viral community analyses, including diversity analyses, ordination
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, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis, Linux/HPC-based analysis, and NGS workflow development (e.g., Snakemake, Bash). Key