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Description As part of a new EU MSCA Doctoral Network ELEVATE (101227453), we are offering a PhD Position on “Modulating bursting activity in silicon neurons to control plasticity and attention”. Location
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robotics, electrical engineering, or computer science, with a strong background in robotic control, computer vision, and image processing – ideally in the context of computer-assisted surgery. You bring
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process, we aim to enable precise and timely medication dosing based on sensor data. This breakthrough technology will provide real-time monitoring, precise and controlled dosing, and improved effectiveness
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Your position Stacking and twisting atomically thin materials offers unprecedented control over their nanoscale magnetic, electronic, and optical properties. In this project, we will develop a novel
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well as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a related field. You bring a strong analytical background and are proficient in areas like geometric
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analyses. A core part of your project will be interpreting the data and developing scientific hypotheses about the atmospheric processes that control the cycling of selenium and other trace elements. You
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of twisted two-dimensional (2D) materials. Stacking and twisting atomically thin materials offers unprecedented control over their nanoscale magnetic, electronic, and optical properties. In this project, we
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of semiconductor properties through electronic doping to control and modify its electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve
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for carefully designed and precisely controlled experiments, high quality temporally and spatially resolved field experiments using particle image velocimetry combined with synchronised measurements