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. These four areas are designed to work in concert, creating a powerful ecosystem where innovations in one area fuel progress in others. Together, this synergy will enable Vineyard to pioneer new models
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version control systems. Excellent analytical, writing, and communication skills in English. Desirable Experience developing and evaluating models for time series, tempo-spatial, and/or probabilistic
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priority will be given to candidates that study cellular and molecular processes using high-dimensional biological data such as single-cell or spatial omics, structural data, advanced microscopy, multi-modal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
the Director of the Center for Environmental Modeling for Policy Development, within the Institute for the Environment. The Research Associate will support software development focused on environmental
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spatial and non-spatial data efficiently. Develop and implement ETL processes to prepare data for publication, analysis, and visualisation, including metadata and data packaging. Collaborate in an agile
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. These four areas are designed to work in concert, creating a powerful ecosystem where innovations in one area fuel progress in others. Together, this synergy will enable Vineyard to pioneer new models
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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transformation of variables. Develop and execute code for various analytic models, including: ○ Multilevel Models ○ Longitudinal Models ○ Mediation Models ○ Models adjusted for weights, complex designs
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spatial transcriptomics derived from rodent models or human samples. o Oversee data processing, quality control, and computational analysis to ensure high accuracy, reproducibility, and adherence to best
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Statistics or Mette Olufsen or Kevin Flores from Mathematics. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or