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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour 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 | 4 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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datasets using R and/or Python to uncover molecular mechanisms of PTSD Evaluate and integrate current scientific literature to support ongoing research projects and hypothesis development Prepare
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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
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imaging/spectroscopy systems. • Experience with data analysis using Matlab, Python, etc. • Some experience using software to automate experimental controls. Required Documents: (1) Curriculum Vitae
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in laboratory medicine. The ideal candidate has the quantitative and computational background to analyze sequencing, high dimensionality data, and be efficient with bash, python, and/or R. Expertise
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Biological & Life Sciences Division – Postdoc Researcher: AI for Precision Medicine and Therapeutics
research (e.g., Python, TensorFlow, PyTorch). Record of publications in top-tier conferences or journals in bioinformatics, AI, or related fields. Strong problem-solving and analytical skills. Excellent
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platforms Contribute to research proposals and peer-reviewed publications Primary Platforms May Include ArcGIS Pro CityEngine Python-based geospatial processing ecosystems Cesium and 3D Tiles