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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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optimising workflows for efficiency, robustness and cost-effectiveness. Multi-omic data analysis: Handle diverse multi-omic data types, including cancer WGS, RNA-seq, single-cell, spatial transcriptomics, and
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: 279354599 Position: Postdoctoral Research Associate Description: The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/ ) at the Andlinger Center for Energy and
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
areas that advance geospatial concepts and theory, including: spatiotemporal modeling, Natural Language Processing implemented within the spatial domain, Big Data cloud computing for spatial statistical
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the analysis of a unique clinical material from more than 250 cancer patients who have been followed with regular sampling for up to eight years. Subject area Oncology Subject area description Modern
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with growers and industry clientele. FAA Part 107 certification or experience with UASs. Knowledge and experience in data science including spatial and temporal analysis of imagery data, GIS, or machine
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complexity involving single cell and spatial profiling technologies - Implements, maintains, and applies the best practices in large-scale data management - Implements analysis tools/pipelines and interprets
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spatially offset Raman spectroscopy (SORS) as a healthcare tool for use in the community for bone health. We are seeking a data analyst with a PhD in data science and expertise in chemometrics, machine
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includes primary immune cell isolation and manipulation, high-dimensional flow cytometry, multiplex immune profiling, spatial and single-cell transcriptomics, and functional assays to evaluate immune
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biomolecular chemistry techniques. Evaluation of biological behavior in cell models through cell culture, flow cytometry, and biocompatibility assays within the framework of the ERC-STG SPACING (SPAtially