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Field
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informatics. We provide access to high-performance computing, secure data environments, clinical imaging data, and software tools (Python, PyTorch/TensorFlow, radiomics, 3D Slicer, DICOM tooling). We
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, Python), and institutional research databases for data management, analysis, and visualization. Supports clinical research activities that includes preparation of IRB protocols, patient data collection
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, transcription factor, pathway, and cell-state analyses. Develop reproducible bioinformatics pipelines and computational tools using Python and/or R. Work closely with Dr. Ren and experimental and
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/Mathematics/Physics. Expertise in either scientific programming (C/C++/Python/Matlab/R) or experimental immunology (Flow cytometry, next generation sequencing) with experience in scientific data visualization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
* Make it easy to get high quality, automated, results without expert intervention. Build scalable products and reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
* Make it easy to get high quality, automated, results without expert intervention. Build scalable products and reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and
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. Working with international academic and industrial partners, you will translate experimental data into transparent models, decision-relevant indicators, and semi-automated Python tools. Your primary tasks
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metadata and outcomes. Creation of reproducible Python and/or MATLAB pipelines for clinical signal processing and analysis. Translation of computational methods into clinically interpretable tools for
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quantitative research and analyzing experimental, observational, or engineering data. Proficiency in at least one analytical or programming environment, such as Python, R, MATLAB, or equivalent software
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with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development: The postdoctoral associate will work