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) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
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, to allow us to optimize materials properties. Your tasks Develop multi-material models at the atomic and molecular level to enable us to optimize materials processes and designs Using experimentally obtained
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for integrated carbon capture and conversion technologies. Your tasks Synthesize and characterize materials for heterogeneous catalysis applications Develop synthesis-structure-properties relationships to optimize
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. Your tasks The PhD research will be entailing an international recurrence case study and focuses on applying and optimizing 3D X-ray virtual histology methods by micro-CT for recurring thyroid tumors
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preconcentration from ambient air. Characterize, validate and automatize laser spectroscopy for radiocarbon (14CO2) and stable isotope analysis (13CO2). Establish, test and optimize an analytical workflow for sample
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to optimize material performance for CO2 valorization Work with project partners to design and implement AI-assisted high-throughput synthesis and testing protocols Contribute to the publication of research
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, focusing on the supply of sustainable fuels and platform chemicals under uncertainty. Extending the existing modeling and optimization framework to enable multi-criteria assessment. Engaging in regular
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Your tasks The PhD research will be entailing an international recurrence case study and focuses on applying and optimizing 3D X-ray virtual histology methods by micro-CT for recurring thyroid tumors
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for automated CO2 preconcentration from ambient air. Characterize, validate and automatize laser spectroscopy for radiocarbon (14CO2) and stable isotope analysis (13CO2). Establish, test and optimize
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involve: Investigate the effects of pressure and temperature on plasma-driven reactions. Design and conduct experiments for CO2 conversion, CH4 pyrolysis, and their combined conversion to identify optimal