61 web-developer-university-of-liverpool positions at KTH Royal Institute of Technology in Sweden
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: Sustainable Development, Environmental Science and Engineering”, subject “Sustainability studies The chemical industry accounts for 5–6% of global greenhouse gas emissions, highlighting the need to phase out
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two fully funded doctoral students to join our WASP-funded project on “Automated Software Verification with Expert-Driven Reasoning”, focused on developing the next generation of AI-assisted programming
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project aims to integrate societal impact assessment of transport solutions and policies with travel behavior models. Traditionally, these models and assessment methods are developed independently and
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focuses on developing principled, scalable, and efficient methods for modeling complex temporal dynamics, with applications in probabilistic forecasting and data imputation. Possible research topics include
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environmental aspects of Silicon Valley-based general-purpose AI systems developed by Big Tech companies, specifically examining how companies' actions relate to their environmental impact. The research will
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-6GSAT and 6G DICE. These projects aim to shape the next generation of wireless networks by developing energy-efficient, resilient, and cost-effective 6G infrastructures that integrate terrestrial and non
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models demand vast datasets and consume extensive time and energy, creating accessibility barriers. The aim of this PhD project is to develop methodologies in AI-based precision pathology, with a focus on
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, developing LLM-driven models for decision-making under deep uncertainties. Supervision: Assoc. Prof. Zhenliang is proposed to supervise the doctoral student. Decisions are made on admission What we offer
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innovative green chemistries . The main aim of this research project is to develop protein-based catalysts that are new to nature. The research area for the PhD student includes de novo protein design, AI
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can reduce model accuracy, especially when modeling multiple processes that interact across different spatial scales. To address this, the project will develop a new class of raster data-processing