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, spatial analysis, GIS, and R/Stata programming methods is required. The candidate will pursue established questions and will also have latitude to develop their own questions within the context
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surface elevation. Here, we will characterize ω_ν with infrared lidar scanners, which have the capacity to directly measure the free surface elevation at high spatial (O(cm)) and temporal resolution
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found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Are you interested in a PhD working on the biological impacts of climate change, based in world-leading research
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adaptation – combining visualisations (“what-if” scenarios) and innovative geo-/data analysis tools. The aim is to accelerate planning and participation processes, strengthen interdisciplinary collaboration
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, business) in the project regions and analysis of their roles, needs, and interfaces for future collaboration Accompanying research in living labs: planning and conducting interviews, surveys, and, where
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interests, which include scalable Bayesian methods, spatial statistics, and statistical methods for massive or complex data, in general, and high-dimensional data analysis, statistical machine learning
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-seq, ATAC-seq, spatial transcriptomics, …) into modeling and develop efficient data/training pipelines Drive application cases with Helmholtz Munich, MDC Berlin, and NVIDIA—for example, disease modeling
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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NCIC, RMS (Records Management Systems), and CJIS-compliant databases. Proficiency in geographic information systems (GIS) software for crime mapping and spatial analysis • • Familiarity with qualitative
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of bioinformatics and computational analysis. To learn more about the Dey Lab, please visit the link below: https://www.gene.com/scientists/our-scientists/anwesha-dey The expected salary range for this position based