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Production Automation group of the RUG support this project by organizing and coordinating scientific studies that explore how people use the app that will be developed within the project. Furthermore, we will
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of the University of Groningen, offering a unique opportunity to work at the interface of academic research and industrial innovation. This project offers an excellent opportunity to contribute to a sustainable and
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on colonial Indonesia, and one on colonial South Africa. Within each sub-project, we will study how in the period c. 1750-1950 violence and other forms of coercion played a role in household relations in
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, switchgear and other high-voltage equipment currently often operate with SF6 gas, which is the worst greenhouse gas known. Within the project, we investigate electric discharges in “green” alternatives to SF6
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-1 FTE), who will work with Dr. Luis Ramirez Camargo of the Energy & Resources group and with other STORCITO project partners at institutions in Germany, Norway and Spain. The tasks for this position
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that taking part may have long-term implications for their ability to visit Iran safely. Our offer A temporary position for 24 months; a working week of 38 hours and a gross monthly salary between €4,537 and
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with the industrial partner to this project, AkzoNobel. The research will take place at the University of Groningen, but if required, the researcher may be able to use AkzoNobel equipment and will be
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materials performance. Developing the understanding of the piezoelectric film structures and their functional properties using characterization techniques such as AFM, XRD, SEM and DBLI and detailed analysis
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please use the following link: www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and
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automized positional therapy. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical applications. Investigate the use of machine learning-based algorithms