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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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, such as a license, certification, and/or registration. ADDITIONAL REQUIREMENTS • Advanced knowledge of basic statistical principles relevant in medical research • Experience with spatial transcriptomics
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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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. The successful candidate will apply and develop bioinformatics, statistical, machine learning, and deep learning approaches to analyze single-cell sequencing and spatial expression data, including single-cell RNA
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on a unique cohort of 1,750 human liver samples and 400 blood samples and integrates high-resolution genomic approaches (ultra-deep WES, ddPCR, single-cell RNA-seq, spatial transcriptomics). Main
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, using WebMapping service tools. Collaboration in the integration of the information generated in the socio-health cartographic viewer of the PMP22/00083 project. Where to apply Website https
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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
Mathematics » Statistics Geosciences » Other Technology » Remote sensing Engineering » Agricultural engineering Computer science » Programming Computer science » Informatics Computer science » 3 D modelling
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on the development of a virtual tissue model bridging cell-cell communication and gene-gene interactions by exploiting spatial transcriptomics data and network-theoretic approaches. Contract start date : May 1st 2026