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Field
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qualifications -Publication record in relevant areas -2-3 years of experience at the post-doctoral level -Excellent quantitative and modeling skills including advanced coding in R and/or Python -An interest and
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responsibilities include i) lead developer of the core Python application, ii) major contributor to the project ecosystem design and implementation, iii) coordinator of working groups, and iv) major contributor
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grant writing or contributing to funded projects. Strong coding experience using R and Python for data analysis. Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text
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Python, MATLAB, and/or R to process sEEG recordings and assess brain-behavior relationships across language, memory, and emotion domains. Author and prepare manuscripts for submission to peer-reviewed
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a strong background in statistical analysis and data-driven modeling applied to large astronomical datasets and time-domain surveys. Expertise in programming languages such as Python, R and C
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Qualifications: Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field Strong programming skills in C++, Python, or similar scientific computing
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’ datasets. • A hands-on experience with large-scale human omics (preferably related to neurodegeneration) studies is expected. • He/she would have solid skills in at least one programming language (R, python
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-related field required. Excellent communication and interpersonal skills. Must be proficient in Python, ESRI ArcGIS, SAS, Matlab, Javascript, Linux. Strong attention to detail and ability to multi-task
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analysis Experience using R or Python Pay and Benefits Pay Range: $62,232 - $75,564; depending on education/qualifications/experience and following the NIH stipend level Please visit the Benefits