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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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, data science (AI/ML) or similar with a focus on animal health, microbiology and disease control and/or production traits. Proven experience in biostatistical and bioinformatic analysis of multiomics
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. Experience with one or more of the following will be considered an advantage: RNA sequencing or other omics technologies, including data analysis; advanced microscopy or image analysis; renal physiology
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carcasses for analysis. Your task will be to explore what we can learn from the beached bird data. Topics include the distribution of mortality in time and space, and among species; causes of death, as
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on the development and application of computational tools in the project. This includes, first and foremost, computational text analysis to detect shaming and shamelessness in parliamentary debates, party manifestos
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crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice
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Associate Professor Martin Thomsen’s group on data analysis and model development. You will report to the Professor Ian Mills/Associate Professor Emma Evergren. Your competences You have academic
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vegetation ecology, plant community ecology or multi-taxon biodiversity analyses analysis of field, camera-trap, trait, citizen-science, spatial or remote-sensing data GIS, spatial modelling, remote sensing