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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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At AAU Energy, a position as Postdoc in AI and Deep Learning for Radar-Based Non-Destructive Testing is open for appointment from 01.10.2026 or as soon as possible hereafter. The position is
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The Section of Biostatistics is looking for a postdoc to develop statistical methods for inference on causal effects in studies affected by non-random participation, particularly self-selection in
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methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C++ • Experience
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proof-of-concept of the value of such dynamic collaboration in a System of Systems setting is included with a case centred around Aarhus Festuge. Industrially this new technology is very valuable in order
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description CENSEMAT investigates crystalline energy materials in which non-random local deviations from the average structure play a decisive role. The postdoc will develop atomistic models that connect local
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Research Environment The Research Assistant will work on a project focusing on cohesin dynamics and its crosstalk with transcription factors in the regulation of adipocyte lineage determination function
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interventions and commercial marketing measures, consumer-oriented innovations, and social dynamics can be combined to support sustainable change. Please make sure to read more about the project here https
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wildlife migrations, altered vegetation, and disrupted San hunter-gatherer territories—that not only shaped and continue to shape Kalahari landscapes, but also the very conditions of anthropological
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CO2 capture in a Vertical Electrical Shaft Kiln, powered by renewable electricity and operated through an e-Transformer that enables direct grid integration and dynamic operation. Your primary role will