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Field
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technologies, they support rehabilitation and mobility through gentle, responsive interfaces; in minimally invasive surgery, they enable precise, low-impact interventions; and in exploration of hazardous
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studies, construction management, and public management with many opportunities to collaborate with other research fields related to, for instance, responsible innovation, innovation policy, and transition
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at the interface of microbial ecology and advanced analytical technology. In our laboratories we have state-of-the art 3D printers and CNC machines as well as NMR spectrometers. Key responsibilities: Design and
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energy minimization. In this project, you will further explore and exploit the potential of ONNs performing sense and compute functions. Some of your responsibilities will include: Design and develop
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embedding graph-based problems, particularly those known to be challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits
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directly applied. The knowledge generated by this project will contribute to making synthetic cells which are responsive to the environment. The general goal is to advance (mechano)sensing in synthetic cells
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mechanical load is directly applied. The knowledge generated by this project will contribute to making synthetic cells which are responsive to the environment. The general goal is to advance (mechano)sensing
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environment, with state-of-the-art equipment and various chances for national and international scientific collaborations. We are looking for a PhD candidate for this project. Your responsibilities will include
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on the following key questions: Analysing Centralization and Accessibility: Using population data from real world data sources such as cancer registries and data from the central bureau of statistics, the PhD
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food supply chains more sustainable? If your answer is “Yes!” to these questions, then this PhD position might be the perfect opportunity for you! We are inviting applications for a 4-year full-time PhD