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Field
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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via
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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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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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context, the recruited person will develop a technology for thermostabilizing RNA-based vaccines by encapsulation within a soluble hydrophilic matrix. - Prototyping the formulation system and studying its
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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, including: development of AI models
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agents. Your research will explore how reinforcement learning, multi-agent cooperation and generative worldmodels can deliver adaptive strategies that thrive amid volatile, multi-asset markets, micro
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Rodrigues, Prof. Kira Vrist Rønn (SDU), and Associate Prof. Line Harder Clemmensen (KU). You will work on research focused on developing AI-enhanced Agent-based Simulation tools to support Intelligence
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and hydroeconomics. You have strong quantitative and methodological skills, such as (spatial) data analysis, hydrological modelling, AI-based or agent-based modelling. You have experience with
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24 Oct 2025 Job Information Organisation/Company Lodz University of Technology Department International Centre for Research on Innovative Bio-based Materials (ICRI-BioM) Research Field Technology
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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