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within the following projects: 1. CO2plus: Phase behavior of CO2+X in CO2 storage. 2. CapSim: Optimizing carbon capture simulation through advanced modelling tools. Responsibilities and
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. The research asistant working for the robot colonoscopy project will support relevant resesarch topics, possibly include 3D modelling, simulation and soft robot control. The research environment provides active
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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, simulation modelling and digital twin technology. Key experience and competencies: PhD in a relevant subject (Essential) Experience of (agro) ecological field work – ecological surveys, sampling and monitoring
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties, through developing predictive models
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an open 2-year postdoc position in relation EUROfusion; specifically, on remote maintenance of fusion power plants. The project is on modelling and controller design for the transporter robot for extracting
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systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
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for planning and executing experiments in climate chambers and in buildings. You will be responsible for carrying out dynamic building simulation models. You will be responsible for disseminating research