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or fragments). Practical experience of complex tissue analysis using multistaining techniques and image analysis. Practical experience of analysis of spatial proteomics and/or transcriptomics data. Experience
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 11 days ago
, generating and analyzing high-dimensional data, and integrating single-cell insights with complementary datasets produced within the project. You will: Design and execute single-cell and/or spatial
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for spatial design, mission analysis and other related tools (GMAT/STK/360TM, CATIA...) is an asset. Specific Requirements Titulación Académica: Ingeniería Aeroespacial (Titulación Universitaria
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to establish mechanistic insight and therapeutic direction. The Research Associate will contribute to project leadership through experimental design, data analysis, and dissemination of findings through high
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the fundamental factors governing cation mobility in aluminosilicate materials through an integrated experimental-theoretical-computational approach. The research will probe the spatial extent and timescales of ion
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Studies, MSc Urbanism and Spatial Planning). Courses will include introductory Dutch-taught courses within the BSc Geography, such as cartography, spatial data handling, and spatial analysis
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methods to biological and clinical research datasets. Primary responsibilities include analyzing bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics data; developing and maintaining reproducible
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snowpacks and ice at Vatnajökull, including their spatial distribution, morphological characteristics, and interaction with solar radiation. Laboratory measurements of albedo alteration: Quantifying how MPs
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and