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of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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involve investigating different optimization tools, antenna configurations, and waveform parameters to maximize the radar system's performance regarding accuracy, resolution, and range. Structure and
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energy management, optimal configuration, a combination of different energy sources, etc. Research goals will be achieved by proper verification of the model. Applicants should fulfill the following
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for in vivo studies. Leveraging recent advances in microscopy and voltage indicators, we can now observe voltage signaling within different compartments of a single cell in live animals, enabling us to
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, MRI, NIRS, eye-tracking) and different labs to test babies, children, adults and elders. Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Master s
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. Empa is a research institution of the ETH Domain. In the Laboratory of Advanced Fibers, we are a multidisciplinary team of researchers working on different topics with particular focus on surface
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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, to automation and optimization, machine design, production, and production systems. Project Description This PhD project is part of the research project “Sustainable and Resilient Hydrogen Infrastructure