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description- Support in the implementation of activities related to technology in Mathematics Education in Primary Schools. - Data collection and data analysis of the implementations. - Design of mathematics
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image analysis to extract cellular morphology and spatial features.Analyze multi-modal datasets combining transcriptomics, chromatin accessibility, imaging, and electrophysiology.Develop and apply machine
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candidate will apply spatial transcriptomics and single-nucleus RNA sequencing to human adipose tissue biopsies to investigate cytoarchitectural features and cell-type specific changes associated with disease
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Omics platform. The platform provides IRB researchers with cutting-edge technologies that integrate histological techniques, spatial profiling, and advanced molecular analysis to map gene and protein
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trained artifical intelligance model for deep sea species identification, and you will support onward analysis of these datasets. For more information on Biological and Marine Sciences please visit our
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identification, and you will support onward analysis of these datasets. This is a full-time position working 37 hours per week on a fixed-term basis for 12 months due to funding. For more information on Biological
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Recruitment Objective Lead and support the CAMPS project for advanced spatial data production and analysis, with a focus on satellite imagery remote sensing, machine learning-based urban and architectural
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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
of: - Data Science Technology Platform, focusing on computational methods for large-scale integration and analysis of multidimensional data; - Single-Cell and Spatial Omics Technology Platform, focusing
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Offer Description 1 (one) Research Grant in the scope of R&D project Exploring Action-Specific Effects with Perceptual Spatial Displacements: Does the ‘Pong Effect’ modulates Representational Momentum
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implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic research, and analysis of patient-derived genomic data from UCSF