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Field
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for predictive and prescriptive urban data analysis. Experience in visualizing and analyzing spatial and functional interactions within urban infrastructure. Personal and Organizational Skills Ability to model
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for collecting data on environmental and health parameters (air quality, noise, mobility). GIS Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial determinants of urban
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main tasks will consist of: Independent research of high international quality, including publication. Analyzing sequencing data (e.g., scRNA-seq, snRNA-seq and spatial transcriptomics) from various
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and strengthen societal capacity to address the climate and biodiversity emergencies. The project will generate spatial-temporal datasets from various sources including Spaceborne Satellites, Drones, In
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candidate will contribute to projects involving participants with implanted intracranial electrodes and wearable non-invasive sensors, with a focus on memory consolidation, spatial navigation, and neural
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the nature of the ambient noise in the reactor (spectrum, spatial and temporal distributions, levels), the approach consists in developing passive methods by determining their conditions of use but not
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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Spatial mode multiplexing and orbital angular momentum The candidates will be considered until the position is filled. To be considered, all applicants must submit Cover letter Curriculum vitae with
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systems. Your primary tasks will be to: Perform linear and nonlinear optical characterization of higher-order mode fibers Develop and implement mode excitation techniques (e.g. using spatial light
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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular