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MRC DiMeN Doctoral Training Partnership: Next-Generation Wound Dressings to Defeat Superbugs: Disrupting Virulence to Combat AMR MRC DiMeN Doctoral Training Partnership PhD Research Project
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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing
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of the energy sector, aligned with the principles of Industry 4.0 and the RAMI4.0 reference model, through a collaborative and interoperable solution based on Multi-agent Systems and Asset Administration Shells
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to contribute to improving the quantitative accuracy of multimodal data. PhD Work Plan In the initial phase, the candidate will conduct a literature review on MR-based attenuation correction methods for PET
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
) Positions PhD Positions Country Portugal Application Deadline 7 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract To be defined Job Status Full-time Hours Per Week 35 Offer Starting Date 23 Dec 2025 Is the
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) and an agent-based reinforcement learning system can developed to identify and optimise safe journeys to reach affected forest plantations. The specific research objectives will be co-developed with
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marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging AI technologies—foundation models, generative design tools, agent platforms, reasoning
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with agent-based models, statistical methods, artificial intelligence, process modeling, and data visualization Experience working in teams with people from various socioeconomic, cultural, and
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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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; quantitative data integration to fuse lineage-resolved 3D imaging with single-cell RNA sequencing (scRNA-seq) trajectories; agent-based and multiscale modelling using the Chaste computational platform to build