33 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Aarhus University
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and analysis. Data analysis and interpretation, including theoretical modelling. Establishing structure-property relationships and pushing the frontiers of the field. Collaborating nationally and
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engaging research environment. The postdocs will work on cultural alignment and preference optimization of large language models (LLMs) for mid to low-resourced languages. The overarching goal is to develop
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in the target proteins. The postdoc will collect single molecule FRET data and by integration with existing atomic models establish trajectories for key conformational changes in the investigated
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You will identify glycans in representative activated sludges and model biofilms You will assign biological functions to glycans in activated sludges and model biofilms You will oversee descriptions
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. You can read more about the department here and about the faculty here . The project is based
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, optical) to produce soil moisture maps. Designing and implementing deep learning pipelines for super-resolution of remote sensing data. Applying explainable AI (e.g., Shapley values) to interpret model
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. Candidates should hold a PhD degree in a relevant area. Of particular relevance: Experience with RNA work and cellular laboratory models will be an advantage. Demonstrated record of international publications
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particles and water molecules interact to form clouds. The experiments will be complemented with off-line chemical analysis and molecular modelling with collaborating groups in C3. The position will focus
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, applied mathematics and computational sciences with a strong focus on computational humanities research. The project leverages an extensive dataset of digitized books, newspapers, and visual artworks
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, management, information science, education, political science or related fields. A PhD in social science or related areas is required. We expect the candidates to have excellent communication skills in spoken