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preparation protocols for NGS and Oxford Nanopore sequencing, organising, recording and overseeing the handling of biological samples, performing preliminary analysis and interpretation of sequencing data
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operating procedures and data-analysis pipelines for SDC workflows. Quantify SEI/CEI formation and evolution using CV, GCD, EIS, GITT, and dQ/dV analysis. Contribute to operando and in situ characterization
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physically consistent data analysis strategies for surface X-ray scattering data, as well as sample cells specific to the beamline. The ID10 surface scattering station is dedicated to studies of hard and soft
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experimental workflows Specific Requirements Experience in Python or similar tools for data analysis, visualization, and automation would be an advantage, especially for handling large experimental datasets and
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, presence of organic load). 5. Data analysis and reporting Analyze chemical, physical, and biological data using statistical methods and appropriate software. Generate clear, well-structured reports
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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cohorts, clinical and biological data collection, and the collection, processing and storage of human biological samples. The post-holder will lead cellular and molecular experimental work using patient
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orbitrap high resolution mass spectrometry. Other duties will depend on the Scholar’s prior experience but may include sample analyses, data analysis, or supervising and mentoring students. Work Performed
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for a passionate and dynamic researcher with strong expertise in pharmacology, cell signaling and structure biology to advance our research in the above areas. Ideal candidates should have a PhD in
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tracking analysis (NTA), NanoFlow cytometry, and advanced imaging techniques, as well as bioinformatic analysis of small RNAs and transcriptomic data. You will collaborate closely with partners working