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-IoT) and intention-based approaches. In particular, the following tasks will be carried out: Design and modeling of the process of translating intents into management tasks (WP1); Adaptation of an in
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performance of molecular dynamics studies on molecular diffusion models in membranes. The research is oriented towards the study of the physicochemical behavior of new systems based on paramagnetic ions with
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/Project: This project builds an optimisation-driven framework to make large language models (LLMs) operate advanced scientific software reliably and efficiently. We will explore heuristic optimisation
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experience is a plus Strong engineering background, with previous experience in: Finite Element modelling Agent-based modelling Network modelling (systems biology) knowledge of statistics is a plus Additional
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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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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out: Designing conversational flows for smart agents based on large language models (LLMs). Integrating external tools using APIs. Refining interaction prompts with language models, adjusting
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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. Minimum of one year of previous experience in similar positions. Knowledge of business, finance, and financing and investment models. Advanced level of Catalan, Spanish and English (oral and written). We