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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
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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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/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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), and spatial transcriptomics to generate predictive models for disease risk, treatment response, and outcomes. Building Genomic and Genetic Resources ● Equine pangenome and pantranscriptome development
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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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vulnerable regions. What you’ll do – Observational Analysis You will unravel the fingerprints of storms on the lake by analyzing how rain, radiation and cloudiness modulate air–lake fluxes and surface
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Scheduled Hours 40 Position Summary Performs data management and/or data analysis for investigators using statistical packages. Assists investigators in the design of experiments, clinical trial
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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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cutting-edge technologies. The Pritykin lab (http://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a
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community assets using multiple data sources and spatial tools. The role emphasizes project leadership, transdisciplinary research across environmental, social, and political sciences, and interaction with