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If you are interested in drinking water and appreciate modelling drinking water distribution networks, this project is for you. You will work in an academic environment within ongoing research
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belongs to the Department of Industrial and Materials Science . The activities of the division are focused on modeling the mechanics of structures, components, and processes along with the involved
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems
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on state-of-the-art Nvidia AI workstations. The work will involve: Creating geometry generation and flow analysis models, as well as performing experimental validations. Training an AI agent using both
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understanding of large language models or conversational AI frameworks (e.g., OpenAI API, Gemini AI) You have experience setting up and maintaining databases (e.g. SQLite, MySQL) You have an interest in research
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analysis of the urban environment, as well as competence in data processing and visualization, is required. Experience in 3D modelling of urban form is also essential. Additional merits that will be
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influence cognitive and metacognitive processes, such as reasoning, conceptual understanding, and self-regulation in learning. Institutional responses, governance models, and ethical frameworks shaping
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of the work is carried out in close collaboration with leading research groups in Sweden and abroad, with complementary expertise in materials synthesis and computational modelling. About the research project
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-Technology Interaction, Form and Function, Modeling and Simulation, Product Development, Materials, and Production, as well as in the interaction between these areas. Here we gather internationally prominent
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the intrinsic magnetic properties. Finally, you will use these molecules as building blocks to construct one-dimensional quantum spin systems, which emulate fundamental models in quantum magnetism, and study