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Field
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computing (Linux) environments, including shell scripting. Strong programming and data analysis skills (e.g., Python, Fortran, R). Demonstrated ability of scholarly output (peer-reviewed publications and
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must have strong foundation in statistics, including multivariate statistical analysis and appropriate validation of quantitative models. The candidate must have experience working in Linux or Unix-based
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demonstrated through research experience and relevant publications. Candidates with demonstrated experience of working with fMRIprep pipelines will be given higher preference. Familiarity with Linux Operation
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as C++, Rust, or Julia. Experience working with large-scale scientific datasets, image processing, computational imaging, tomography data analysis, or data compression. Experience with Linux-based
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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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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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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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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