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A PhD degree in applied mathematics, computer science, electrical engineering, mechanical engineering,or applied physics.•A research oriented attitude with affinity for advanced formal mathematics
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for CO2 emissions set forth, alternative, low-carbon emission approaches to existing manufacturing processes for base chemicals are required. This necessitates re-invention of processes that are in use
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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the north-south climate gradient in Europe, and link your findings of vegetation patterns to potential future shifts driven by climate change. You will design and implement field trials to assess the effects
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collaboration and analytical skills. The candidates with the following background and qualities are particularly encouraged to apply: A PhD in Energy Policy, Science and Technology Studies, Policy Sciences
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. The innovation of power devices is one of the driving forces behind the advancement of power electronics systems. As typical wide-bandgap power devices, SiC MOSFETs are gaining popularity in various applications
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 14 September 2025 Apply now Join the BONSAI project
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what you will do You will carry experimental work in the lab, from bibliographical research, setup and protocol design to data analysis. We ask you to become independent by taking initiatives and
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-dependent changes in electrical impedance with real-time high-speed distance measurements. In a parallel project, another Postdoc will, partly based on two current ongoing PhD projects, design and test
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planned October 2025. About the organisation The Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We