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for Carbon Sequestration (PERCS) project at the University of British Columbia (percs.landfood.ubc.ca ). The PERCS partnership grant links four Canadian universities, seven partner organizations, and a multi
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preferred. In addition, the successful candidate should demonstrate these skills: · Expertise in machine learning and AI, particularly LLM fine-tuning and reinforcement learning · Experience with multi-agent
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large numbers of heterogenous samples Applying the latest developments in AI to our research questions Integrating complex multi-omics data, including CLIP Collaborating with experimental scientists
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samples Applying the latest developments in AI to our research questions Integrating complex multi-omics data Collaborating with experimental scientists, advising on experimental design and methods
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available at the Department of Informatics (IFI), UiO. Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
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) to organize, filter, and cross-reference degradation reports across stressors, materials, and module architectures Collaborate with team members developing LLM-based literature extraction and agentic reasoning
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] Duties The appointees will assist the project leader in the research project - “SLAssistants: multi-agentic generative AI-driven smart logistics assistants for B2B cross-border multi-stage multi-modal
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in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and
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-time/Part-time) (several posts) [Appointment period: each for six months] Duties The appointees will assist the project leader in the project - “Developing an LLM-based multi-agent language learning
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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and