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Digital manufacturing, Industry 4.0, or cyber-physical systems o Product design for disassembly, remanufacturing, or recycling o Data analysis, AI, or machine learning applied to engineering systems
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fieldwork – in one or more infrastructure sectors (e.g. energy, water and sanitation, mobility or food) in European and Indian cities analyse the material using qualitative process methods (path tracing) and
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of researchers with complementary expertise in molecular biology, oncology, medical radiation physics, radionuclide therapy, radiochemistry, magnetic resonance imaging (MRI), radiation dosimetry, and image
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contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts
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: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level behaviour for system monitoring, state
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engineering, engineering physics or similar, or have completed at least 240 credits in higher education with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
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reaction mechanisms. In collaboration with the Chair of Physical Chemistry we will advance CSIA to mechanistically characterize photocatalytic reactions under controlled conditions, with the ultimate goal
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For application process queries, please contact [email protected] The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The
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of blades to discs using solid-state joining is a key factor in achieving cost-effective, high performance and low-weight fan and compressor stages in aero-engines. LFW is an established joining process
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findings will be valuable, as the work will define the physical and engineering limits of the approach. If successful, the underlying measurement principle could have wider relevance to future cardiovascular