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. The project will construct the first-ever Spatial Integrated Assessment Model of the global water cycle. Combined with global spatial data on economic activity, water usage, and atmospheric evaporation
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
that is focused on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial
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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
Single-cell and Spatial Omics: https://nimsb.unl.pt/wp-content/uploads/2026/03/SComicsTPL-1.pdf Proteomics/Metabolomics:https://nimsb.unl.pt/wp-content/uploads/2026/03/ProteomicsTPL-1-1.pdf Skills We seek
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LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our understanding of vegetation
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électriques ou électromagnétiques (Arnason et al., 2025, e.g. Vilhjalmson et Flovenz, 2017, Lévy et al., 2019). L'objet d'étude concernera la caractérisation à haute résolution spatiale des systèmes volcaniques
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are of interest. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 12 days ago
motivated postdoctoral researcher (f/m/x) to develop advanced physical and computational models integrating transcriptional and biomechanical data during mammalian gastrulation. This position is part of
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immediately, depending on visa status and requirements. Group or Departmental Website: https://med.stanford.edu/matteo-mole.html (link is external) https://www.devo-evo.com (link is external) How to Submit