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                Your Job: The work is part of the joint project “Towards sustainable production by regenerative agriculture and agroecology in a changing climate” (ReGenFarm). Together with Bayer Crop Science, IBG 
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                channels. The goal is to uncover hidden tracking practices that operate across ecosystems (e.g., mobile, web, IoT, and smart TV environments) and to design scalable analysis and mitigation frameworks 
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                microenvironment. The post holder will develop experimental work flows for data acquisition and apply bioinformatics tools to create novel analytical pipelines for analysis of multidimensional data sets. The project 
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                for the detection and analysis of vulnerabilities and privacy harmful behaviours in IoT products, including side-channels arising from misuse and abuse of network protocols. The candidate will develop and apply 
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                monitoring methods with community partners across Scotland’s west coast. The potential for drone and mobile phone imagery to enhance this work has been discussed with community groups, informing this project 
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                for the competition for the awarding of a BI Research Grant within the scope of the project “DNAI – Digital Narratives and Artificial Intelligence: Comparative Analysis of Audiovisual Content and Transparency in 
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                . We seek outstanding candidates with a Ph.D. in Computational Biology/Bioinformatics, Cell Biology, or related fields. The ideal candidate will have demonstrated expertise in computational analysis 
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                familiarity. Previous research experience (thesis, publication, or research assistantship) in psychology, cultural studies, or computational analysis. Capacity to work independently while contributing to a 
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                longitudinal study in glioma patients to identify natural speech markers predictive of postoperative prognosis, analyzing functional and structural brain data, and preparing research papers under the supervision 
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                on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and