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SQUID magnetometry or similar techniques is a strong advantage. Experience in programming, ideally using Python to the extent that you can independently write programs to control and automate measurements
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and components with high surface quality requirements. Despite the trends towards increasing automation and higher productivity, the polishing of complex geometries is still normally performed manually
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fixed for 2 years. Your work tasks and competencies The ideal candidate holds a PhD in robotics, mechatronics, control engineering, or a related field. They will have documented experience in autonomous
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, synthesis, and characterization of silicone-based foams for innovative healthcare applications. Key tasks will include tailoring the chemistry and processing of silicone polymers to create controlled foam
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monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
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tools (SEM, AFM, TEM) or electronic measurement setups. Hands-on laboratory experience with two-dimensional materials such as graphene, α-RuCl3, and TMDs. Excellent command of written and spoken English
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of DTU Engineering Technology and the Department of Electric Energy at the Norwegian University of Science and Technology (NTNU). The project will investigate coordinated operation and control of local
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for these types of experiments at the single cell level. Your primary tasks will be to: Design and conduct experiments to generate high-quality datasets Analyze and interpret complex datasets related to gene
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to carry out high-quality research on the modelling of power system balancing process for future sector-coupled European energy systems. The task will include assessment of reserve requirements and
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Quantum Internet. We focus on quantum control and manipulation of novel nanostructures at the single-photon and single-electron level, using nanowires, quantum dots, and hybrid semiconductor-atomic systems