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-disaster environments, and to use these insights to forecast recovery trajectories and design effective restoration strategies. The postdoc will be expected to contribute new conceptual developments to trait
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Job Description If you wish to develop your research within Science & Technology Studies (STS) and Computational Anthropology, you may consider applying for this Post Doc position (36 months). We
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involve complex trade-offs: while higher charging currents reduce charging time, they also accelerate degradation and heat generation. We aim to develop intelligent, health-aware charging protocols
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will involve developing and applying advanced data analysis methods to investigate ionospheric electrodynamics using novel datasets, including those from the EISCAT 3D radar system and NASA's Electrojet
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Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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Are you motivated by unravelling how fundamental cellular processes are regulated? Do you want to pioneer the discovery and development of innovative tools and methodologies to decode poorly
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. Expected start date and duration of employment This is a 3-year position available from 1 April 2026. Job description Our team investigates the molecular mechanisms that govern the development and
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Aarhus University’s Department of Ecoscience invites applications for a 2-year postdoc to co-develop a spatially-explicit individual-based dynamic energy budget model (DEB-IBM) for high-Arctic