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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
the supervision of Alex Huk, Ph.D. Specifically, the incumbent will be researching cortical mechanisms of spatial vision. The appointee will be responsible for supervising and mentoring trainees, contributing
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and
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) Development of state-of-the-art database and analysis platforms as part of data science, utilizing diverse datasets related to earthquakes and volcanoes across broad spatial and temporal scales. These datasets
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the conceptual, historical, and geographical scope of the analysis of human-reef relationships in order to propose systemic and operational management measures tailored to specific needs. We want to develop
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clinical trials. Key Responsibilities Perform end-to-end analysis of single-cell RNA-seq, multiome, and spatial transcriptomics datasets from patient samples. Integrate multi-modal genomic, clinical, and
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bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution solar
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for the other courses may include introductory computational methods, statistical methods, text analysis, network analysis, spatial analysis, societal impact of AI, digital media, art and technology, social media
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imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise
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Geography Proof of proficiency in using spatial data analysis software (GIS) and statistical data analysis software (SPSS Statistics or R) Proof of English and Croatian language proficiency (certificate
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of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG-NWE funded AccessHubs project, which examines