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Field
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks
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-waiting – were successful spies in seventeenth-century England. This is what Nadine Akkerman describes in her book Invisible Agents, the first analysis of the role of female spies in the seventeenth century
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and computer science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making
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world. We look forward to receiving your application! We are looking for a PhD student in AI and autonomous systems with a focus on Vision-Language-Action (VLA) Models to control multiple heterogenous
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. Additionally, the impact of chemotherapeutic agents on cardiac tissue function will be studied using this model. Goals Identify appropriate scaffold base materials, evaluate various crosslinking methods (such as
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of contaminated soils on soil strength and erosion control. Developing a Model for the Adoption of Agentic AI in Facilities Management: Enabling Autonomous Decision-Making for Sustainable Built Environments
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Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential equation models for Epstein–Barr Virus (EBV
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to establish a roadmap, (2) developing models and benchmarks for LLM-based refactoring, (3) designing autonomous agents, and (4) conducting studies to analyse real-world impact. We are committed to creating a
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(mammalian cell cultures) and whole tissue level (preclinical cancer models). Main Tasks and responsibilities: The PhD candidate researcher will focus primarily on laboratory-based experimental work in the
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with unprecedented detail, enabling dynamic, data-driven insight into the recoverable value of materials. Agentic AI systems will be designed to autonomously explore and propose optimal dismantling