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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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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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Denmark as well as abroad. Your primary tasks will be to: Develop, test, analyse, simulate and predict the capture performance of new fishing gears. Produce high quality scientific and/or engineering papers
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not required. Experience in programming, simulation and data analysis. Ideally also in experiment automation. Ability to work independently and as part of a team. Excellent communication skills in
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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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–microstructure–property–performance simulation platform, and (iii) a theoretical framework for design of AM-defect tolerant microstructures. The focus of the current postdoc position will be on applying all
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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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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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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