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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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analytical skills which bridge science and marine policy, including research experience in European coastal and marine systems. Experience in spatial data analysis using geographic information systems (GIS
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recommendations for policymakers and stakeholders. Overseeing data collection, analysis, and methodology development for policy evaluation projects within the Industrial Policy Lab, ensuring high-quality and robust
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: An essential aspect of this position is the analysis of neuroimaging data (primarily EEG) in the context of the study of attention and memory. Here, we focus primarily on the investigation of working memory and
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Analysis and other analytical methods Profile: We are looking for highly motivated candidates (m/f/d) with a PhD degree in inorganic chemistry, organometallic or organic chemistry who are interested in
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in non-academic, participatory contexts and projects with their own citizen science component. Your tasks: For researchers (m/f/d) working on their doctorate: to develop a historical, cultural or
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in spatial equilibrium modeling (e.g., through coursework, dissertation work, or previous projects) experience with spatial data analysis using GIS tools or spatial libraries and familiarity with