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carbon capture simulation through advanced modelling tools—CapSim”. This project aims to improve CO2 capture simulation technology by apply state‐of‐the‐art techniques for evaluation of uncertainties in
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Leticia Hosta-Rigau at DTU Health Tech. The group works across materials science, organic/polymer chemistry, and molecular and cell biology. Our focus areas include drug delivery, cell mimicry, and tissue
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characterization. Your primary tasks will include: Modification of polymers and development of scalable processing methods of multilayered composite membranes Characterization of the membranes and components with
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optimization of waste heat harvesting. Your role will be to simulate the heat transfer processes between façade panels and thermoelectric generators, focusing on maximizing waste energy recovery efficiency. You
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application in sustainable energy technology. Our research areas include fuel cells, electrolysis, polymer solar cells, magnetic refrigeration, superconductivity, thermoelectrics, sustainable synthetic fuels
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integrated circuits for next-generation UOWC technologies. As a participant of the project, you will become part of a team at DTU with expertise in design, simulation, nanofabrication, characterization, and
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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capability to model complicated magnetic systems for two reasons. First, all magnetic sources in a simulation interact, leading to computational resources scaling with the number of sources squared – which is
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co-simulation platforms (e.g., TRNSYS-Python) Implement and test AI-enabled smart energy management strategies in real-world settings Conducting in situ measurements, including planning, setting up
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tolerant microstructures. The work will be based on experimental characterization guided by advanced AM simulations. The latter being the responsibility of other participants of the MicroAM project