51 computational-physics-simulation "UCL" Postdoctoral positions at Aarhus University
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The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between
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, model-based input, or similar) An interest in ability-based design, tailorability, or multimodal interaction Experience with physical computing, haptic devices, or novel input is an advantage but not
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and different industrial outreach activities The candidate has at least the following qualifications - Applicants should hold a PhD in Computer Engineering, Computer Science, or similar - Cyber-physical
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chemical environments and correlated disorder to thermodynamic stability and transport. The research will form a central part of CENSEMAT's simulation-guided materials programme and will be carried out in
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involved in a wide range of fundamental research projects at the interface between biology, biomedicine, chemistry and physics. The Prischi Lab , based in the Randall Centre, investigates the molecular
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical
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, press releases, and elite social-media content. It also includes other forms of computational tools used in the project, such as generative agent-based simulations with LLM-powered agents and AI-chatbot
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be included for completing this subproject within the period of employment. Lastly, the application must include a copy of the applicant’s PhD degree certificate or other documentation confirming
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the department’s teaching and supervision activities and to teach and supervise at BA and MA levels. The department has the following educations: Information Studies, Bachelor's Degree Programme in (2018
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metagenomics from various field experiments, evaluation of microbially mediated regulation of soil carbon fractions, and development of a model that simulates the growth of key soil microbial communities related