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Field
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. Focusing on adaptive intelligence, which blends human creativity and machine intelligence, the project will develop Multi-Intelligence Agents (MIAs) to facilitate the seamless integration of social factors
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Job Description The Department of Technology and Innovation at the University of Southern Denmark (SDU) invites applications for one PhD position within the field of Agentic AI for Supply Chain
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by nanobubble ultrasound imaging. The research on these three topics will be carried out by 2 PhD students and a postdoc at Eindhoven University of Technology and the University of Twente. The whole
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project will develop a process-based, spatially explicit agent-based model for one or more widespread European amphibian species (e.g. Bufo bufo, Rana temporaria, Epidalea calamita), capable of capturing
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questions and corresponding workflows; collaborate closely with another PhD candidate (question modelling), a postdoc (GeoQA reasoning engine) and a technical assistant; evaluate your framework through user
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application! We are looking for a highly talented and motivated Ph.D. candidate to join our research team in the cutting-edge area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations
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to understand the interplay between human populations and forest dynamics, before and after European contact. You will also become part of our Crossroads Research Centre, a group of PhDs and postdoc working
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; Experience with (statistical) data analysis; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in
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, before and after European contact. You will also become part of our Crossroads Research Centre, a group of PhDs and postdoc working on various aspects of early modern global history, with a focus on
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; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in the field of coupled social-environmental