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are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
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of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting
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. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: Hands-on experience in nanofabrication techniques (e.g., electron-beam lithography
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section. What happens next? The successful applicant will be contacted directly. For questions about the project, contact Dr Megan Crichton . For questions about the application process, contact hdr
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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co-supervision of student projects) Profile A master's degree in engineering, environmental sciences, or physics. Strong interest in experimental fluid mechanics. Experience with experimental (fluid
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our