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• Application Deadline: Evaluation of applications starts January 15th, 2026 until filled Recent advances in high-throughput technologies for single-cell analysis, including single-cell transcriptomics, spatial
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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, ecological and spatial data analysis, and knowledge exchange. This project includes an internship with a conservation organisation and fieldwork opportunities. CASE Partner The Bat Conservation Trust (BCT
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the newly funded LOEWE network “Lipid Space” to dissect the spatial lipid organization and is attached to the research groups led by Dr. Sebastian Scheich and Prof. Dr. Andreas Weigert within the Department
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, signal processing, wireless/optical communications, and communication system engineering Extensive experience in physical layer algorithm design and performance analysis Proven track record of publications
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Cooperative Extension Area Citrus and Pistachio Advisor - Serving Kern and Kings Counties (AP 25-34)
University of California Agriculture and Natural Resources | Bakersfield, California | United States | 21 days agoharvesting, supported by spatial analysis and automation technologies to improve labor efficiency and crop uniformity Research objectives should emphasize the development of orchard systems that conserve
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: The courses are offered January 26, 2026 to May 15, 2026. INFO 615 Spatial Statistics This course covers specialized methods and models that have been created for performing statistical analysis on spatial data
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that implement the provisions of the ESA/France Agreement on CSG (le Centre Spatial Guyanais) and preparing CSG evolutions (e.g. projects toward a more sustainable Spaceport). Candidates interested are encouraged
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program focused on spatial analysis and health policy, and will be capable of teaching courses in these core areas as well as mentoring graduate and undergraduate students. The teaching load
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signature. More information can be obtained in: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . II. Preferential Requirements Experience in processing and handling spatial data (GIS-related