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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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, yet major scientific uncertainties remain, particularly concerning aviation’s effects beyond carbon dioxide emissions. In this position, you will develop models to assess these impacts and identify
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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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-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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. About us You will join the Systems and Control division at the Department of Electrical Engineering , where PhD students, postdocs, and senior researchers collaborate on modelling and numerical