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-performance computing and Linux environment. Awareness of metadata standards and reproducible open science practices. Experience with GIS for spatial analysis and cartography. Contribution to research proposals
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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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February 2026. Description of the role DGL is an interdisciplinary research group at the University of Helsinki, focused on spatial big data analytics on a human scale to support the planning of fair and
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analytical skills and a solid foundation in data synthesis, remote sensing, spatial analysis and Bayesian statistics o Strong proficiencies in R and/or Python o Experience with version control in GitHub
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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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, 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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The Environmental and Ecological Statistics Research Group (EnvStat) at the University of Helsinki seeks two doctoral researchers (PhD students) in ecological statistics. The EnvStat group operates
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the Faculty of Engineering. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290847/phd-candidate-in-ai-drive… Requirements Research FieldEngineeringEducation LevelMaster Degree
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understanding and experience of cancer biology, cell and molecular biology, and biochemistry. Practical experience with bioinformatics and omics data (transcriptomics, proteomics, spatial data) and analysis (e.g
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from specific, rather spatially restricted, groups of photoreceptors (receptive fields). In addition, the structure and function of retinal neuronal circuits are fairly well understood, and optical