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for autism, recruiting and testing participants, as well as data processing and analysis. The main goals of SHAPE are to map out the relationship between the visual perception of shape and its encoding
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; GIS software; spatial analysis and visualization; programming in R, Python, or similar; quantitative data collection and analysis; scientific synthesis and writing. Experience partnering with non
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starts. Preferably, you will also have: Interest in global water issues and earth system modelling; Strong quantitative methodological skills, for instance knowledge of (spatial) data analysis
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
of Computational Biology (ICB) , as part of the Computational Health Center at Helmholtz Munich, is globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored
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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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areas: GIS software; spatial analysis and visualization; programming in R, Python, or similar; epidemiology; etiology; data communication; systems evaluation; quantitative data collection and analysis
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, ecology, and conservation and spans a range of activities from exploratory analysis, visualization, and discovery to prediction, validation, quantification of uncertainty, and inference. To thrive in
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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may include but are not limited to: Introduction and Intermediate GIS, Spatial Analysis, Cartography, Outdoor Field Skills, Adventure Programming, and Recreational Lands Management for Sustainable
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fish larvae. Although the importance of drift is well established, many of its underlying dynamics—particularly its spatial and temporal variability—remain poorly quantified. This knowledge gap largely