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of High-Throughput Mass Spectrometry Data, Single-Cell and Spatial Omics Data Analysis, Biomedical Data Integration and Visualization, Computational Systems Biology and Network Medicine, Computational
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studies examining how particular kinds of instruction impact children’s learning. Much of our research focuses on children’s mathematical and spatial learning, and examines cognitive as well as affective
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comprehensive training aimed at building essential scientific and transferable skills. Job Duties: Implementation and bioinformatic evaluation of transcript- and protein-based spatial single-cell multi-omics
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unites computational and quantitative criminology with data science and spatial analysis. We conduct fundamental and applied research to generate robust, actionable insights on crime and societal responses
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species of conservation concern. We use field data, bioacoustic monitoring, spatial analyses, community science data, and quantitative approaches to provide applied outcomes for pressing conservation issues
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-performance computing and Linux environment. Awareness of metadata standards and reproducible open science practices. Experience with GIS for spatial analysis and cartography. Contribution to research proposals
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
: Research and data analysis: Collect, organise, and systematise relevant data from different sources (scientific, technical, environmental, and social); Develop and apply quantitative models to simulate
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, transportation planning, and community planning integrating data visualization, spatial analysis, and participatory methods. URI’s land- and sea-grant mission enables collaboration across geoscience, engineering
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. This research project has a dual focus. On the one hand, you will be involved in analysis of spatial, single-cell and multi-omics data to efficiently characterize the different molecular layers. This will be done
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across spatial scales. The project will bring together empirical data analysis, experiments, and development of ecological theory to provide a holistic view of pollinator systems under human disturbance