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and spatial omics integration and latent modeling with scVI for batch correction and label transfer Regulatory genomics and motif analysis using tools from MEME Suite or HOMER. Cloud-native NGS workflow
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that have been made available for the project using instruments and facilities at Curtin University. Work collaboratively with researchers (including PhD students) in the asteroid sample analysis team
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templating of silica condensation by phase-segregated lipid bilayers and GUVs. (3) integrate biomineralization peptides into lipid systems to drive spatially controlled mineralization, and (4) extend
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at various spatial and temporal scales, ranging from individual cells to tissues, organs, and full physiological systems. Computational modeling and simulation: development of constitutive laws, finite-element
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Qualifications Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field Proven experience in the analysis of single-cell or spatial omics datasets Strong programming skills in Python and
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analysis, and complete data QC and entry. Approximately 70% of work is field based, with 30% in the office/lab. Housing may be provided if needed. The Eastern Oregon Agricultural Research Center (EOARC) is
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, epidemiological, and environmental data Taking part in developing and validating predictive cancer‑risk models Contributing to spatial analysis and data integration in geographic information systems (GIS
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24 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'océanographie physique et spatiale Research Field Physics Researcher Profile First Stage Researcher (R1) Country France
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; Experience with (statistical) data analysis; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in
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and patient survival outcomes [2-4]. This PhD project will seek to investigate the prognostic value of spatial immunophenotypes in lung cancer combining high-plex imaging, spatial data analysis, and