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assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ and how alloimmunity is suppressed in patients receiving donor
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of vibrational probes to increase contrast. Yet, in practical applications, MIP often lacks sensitivity, spatial resolution and the ability to accurately quantify specific chemicals in complex samples. The project
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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to develop models and insights that inform decisionmakers from the local to the national scale. The candidate will employ appropriate theoretical perspectives and statistical methods, including
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Strong statistical/econometric skills with demonstrated experience working with Stata, R or spatial mapping software Some knowledge of seed systems, crop science and/or crop modelling is desirable
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-cell RNA-seq, multiOme-seq (RNA+ATAC) and spatial transcriptomics (Visium HD, Xenium) and spatial epigenomics. We utilize a wide range of cell-based models, organoid systems and patient material together
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the project entitled “Spatial determinants of immunotherapy resistance in cancer”, funded by the NCN (National Science Centre) in cooperation with the SNSF (Swiss National Science Foundation). Our laboratory
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the impact of polyamines on macrophage phagocytosis and efferocytosis activity; 3) in vivo experiments testing therapeutic efficacy of polyamines; and 4) transcriptomic analyses (scRNA-seq and spatial) across
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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University