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for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI
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, environmental science, environmental engineering, disease ecology, animal welfare science and didatik. Subject area for the position: Ecology with a focus on animal welfare Location until further notice: Location
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Applications are invited for the post of Post-Doctoral Researcher to join the government funded ObSERVE programme in the School of Biological, Earth & Environmental Sciences (BEES) and the MaREI Centre in
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
Do you have a passion and vision for developing new platforms to unleash the power of microbial metabolism and physiology to find scalable solutions for CO2 capture and conversion ? Come and be part
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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics
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Experience with pathways and complex networks in cell biology Finally, applicants should: Be curious and ambitious Take pride in being a good colleague and scientist Who we are The laboratory is located
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. The successful candidate will apply environmental association mapping and expression profiling across grasses and maize landraces to identify key genes and regulatory networks. These insights will then be
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting-edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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modules that enable engineered T cells to detect intracellular cancer antigens, expanding CAR-T and similar technologies beyond surface targets. You will help develop new and optimise existing computational
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-lab’s daily activities and research network of European graduate trainees, interns and visiting researchers, as applicable; advance multi-sensor EO threat detection and real-time intelligence fusion using