32 postdoctoral-soil-structure-interaction-fem-dynamics Postdoctoral positions at Aarhus University in Denmark
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The AarhusNLP Group at the Center for Humanities Computing, Aarhus University, invites applications for multiple three-year Postdoctoral Researcher positions. Starting date: June 1 2025 (or as soon
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well as international partners. Field experiments, digital technologies -- including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. You will be part of a
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Are you motivated to turn advanced research into real-world solutions for climate-smart sustainable soil management? Join us at Aarhus University's Department of Agroecology as a postdoctoral
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environments. Your key responsibilities will include: Developing hydrological models to predict recharge zones using remote sensing and in-situ data. Integrating soil moisture maps, digital elevation models, and
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We are seeking highly motivated applicants for a 1-year postdoctoral position (with the possibility of 1-year extension) in the area of Goal-Oriented Semantic Communication and Edge Intelligence
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interactions. Expected start date and duration of employment The position is available from 1 September 2025 or as soon as possible and is a 28-month appointment. About the Project ArcticPush is a research
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The Danish Centre for Studies in Research and Research Policy (CFA) at the Department of Political Science, Aarhus BSS, Aarhus University invites applications for a postdoctoral position. The
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described by their dynamic viscosity, causing them to transition between liquid, semi-solid, or solid (glassy) states. In this project, we aim to develop methods to accurately quantify these changes in
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like to work with a highly engaged and motivated staff in a dynamic working environment. The position is available from 1 October, 2025. The position The position is offered for a 2-year period of
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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