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researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental
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associated with NeAIxt , a Chips JU research project jointly funded by the European Commission and Innovation Fund Denmark (IFD). NeAIxt is a large European collaboration with a consortium of 64 partners
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The project aims to examine the mechanical behavior of soft scaffolds with different architectures, with the goal of (a) mimicking the behavior of native tissue and (b) tailoring the large deformation material
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while commercial electrolyzers typically operate at 70-90 °C and increasingly at elevated pressures, research still tends to focus at 25 °C and 1 bar. Because of this a large amount of scientific insight
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., camera traps, thermal imaging, acoustic sensors) Practical skills in programming and analysis of large datasets Publication record in relevant areas Ability to communicate effectively in English, both
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(2026–2029) focused on creating digital twins and AI-driven models for solid state quantum devices. The position is placed in the Theory & Simulation and Data teams of NQCP. Role Description We
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collaboration with PUFIN—ID, and a large part of the work will take place at their premises. The postdoc’s duties will include research within Physical Unclonable Functions and production equipment
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based on the large quantitative data recourses combining, e.g., methods from complex-systems science, data science, and causal inference. Contribute to scientific publications and engage in