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Duke University - Biochemistry & Cell Biology | Durham, North Carolina | United States | about 2 months ago
virtual cells, drug-target interactions, biomarker discovery, or other AI/ML approaches for spatial, multi-omic, genomic, and proteomic datasets, biological imaging, or multiscale modeling. Particular
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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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and 3D analysis we will quantify the spatial and temporal organisation of the skeleton and the cytoskeleton. This analysis will allow us to produce a database to compare with the predictions of a growth
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Staff/Administrative Internal Number: JR95077 Location ST. LOUIS, MO 63130 Scheduled Hours 37.5 Position Summary The Geospatial Analyst performs advanced Geographic Information System and spatial data
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, pharmacologic, genomics profiling (e.g. single-cell, spatial gene expression), datasets into rigorous mechanistic and preclinical studies, ultimately aimed at improving outcomes for children with cancer
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experiences (WP2). Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo… Requirements Research FieldEngineering » Civil engineeringEducation LevelPhD
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historical information sources that are integrated into spatial analyses and statistical models. The work may also include laboratory analyses of soil carbon to provide a clearer understanding of which carbon
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on: Analysis of methodologies for integrating data of different nature (ground-penetrating radar, InSAR, FWD, ...) into BIM/GIS information models. Spatial analysis methodologies will also be developed
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of both basic and clinical research are of special interest, particularly those that make use of mass spectroscopy-based approaches, advanced organoid models or single-cell/spatial —omics and bioinformatic
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morphology, cell viability, epithelial organization, barrier-related readouts, and model reproducibility across experimental batches. 30% — Tissue processing, histology, imaging, and spatial-omics preparation