23 postdoctoral-laminate-composite-simulation PhD positions at Technical University of Denmark
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chemistry, designing and testing porous composite materials for advanced water remediation. What We Offer: Access to world-class facilities at DTU Nanolab, including cutting-edge electron microscopy
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background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica, Pytorch, etc
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caused by the exposure to diverse simulated weather scenarios and urban traffic loadings. Responsibilities Your responsibility is twofold. First, it is driving and performing the research efforts as
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to be cost competitive with other technologies, long lifetime of >5 years operation under high current density is desired. Operation conditions such as temperature, gas composition, current density and
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About us You will join an international and highly
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for CI, HTI, and urban environments. The network emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration
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of thermodynamic modelling, process simulation is an advantage. For applicants to the PhD position, you must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
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for the PhD education . Assessment The assessment of the applicants will be conducted by Professor Tomislav Dragicevic and Postdoctoral Researchers Pere Izquierdo and Miguel Lopez. We offer DTU is a leading
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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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, satellite altimetry, ice flow maps and terminus positions and other relevant data to constrain numerical model to simulate 1900-present and future (present-2100) ice flow changes under different UN IPCC