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Field
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of Distributed Mixture-of-Experts (MoE) and Small Language Models (SLMs) to create autonomous, intent-driven networks. This isn't just about connectivity; it’s about building a collaborative, agentic ecosystem
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of lightweight, logic-based machine learning approaches. In addition, agents must support collective decision-making to achieve system-wide optimisation rather than isolated, local improvements. Finally
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of Marine Technology , as part of the Norwegian Maritime AI Center (MAI) at NTNU . As a PhD candidate, you will conduct research to develop AI-driven methods for efficient methods for simulation-based testing
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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with reducing and oxidising gas-phase species (e.g. laser-based imaging diagnostics, setup of model reactors, modelling of underlying reactions, multi-scale simulation of reactive fluids, computational
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mechanistic insight, the student will use AI-based methods to investigate CPA–water interactions and ice inhibition. At larger scales, agent-based modelling using the BioDynaMo platform will be employed
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, ablations), including simulator- or metamodel-generated rollouts. Implement, test, and benchmark RL methods for policy discovery (e.g., multi-agent, multi-objective, uncertainty-aware, and/or safe RL), and
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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, and knowledge integration Safe, transparent, and privacy-preserving agent-based AI Eligibility and requirements The candidate should have a first or upper second-class BEng and MEng (or equivalent
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will be analyzed considering various scenarios. To this end, agents having similar characteristics to the entities (job seekers and firms) will be defined in an agent-based model, which will simulate