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Field
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
models. We focus on creating organoids with precise cell types, architecture, and functions that closely mirror their in vivo counterparts. Our mission is to harness these advanced models to unravel
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circuit mechanisms underlying addiction and neurodegenerative disease and using multi-level approaches that include fiber photometry, patch-clamp electrophysiology, optogenetics and chemogenetics, spatial
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the following directions: 1) Developing computational methods for integrating multi-modal data, such as scRNA-seq, scATAC-seq, spatial transcriptomics, ChIP-seq, and CRISPR screening. 2) Investigating context
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space through spatial ‘omics approaches. Responsibilities and qualifications The successful candidate should be eager to pursue ambitious research questions using latest-technology workflows and chart new
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) to develop computational models for electric breakdown of gases Job description Electric gas discharges occur in nature, most prominently in air in the form of lightning and its less visible precursors
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Spatial Temporality in Education Critical & Embodied Theories Qualitative Research Methods Oral History Critical Policy Analysis Candidates must have documented experience teaching the following courses
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite