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Field
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of chemoreceptor (CR) genes and other sensor proteins in phytopathogenic bacteria. Biochemical charactherization of CRs and sensor proteins. Functional charactherizations of mutants in the context of plant
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the Institute of Sensor and Actuator Systems, in the Research Unit of Microsystems Technology, TU Wien is offering a position as project assistant (PhD position). The PhD position is planned for a total duration
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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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machinery. These tasks include the verification of backlash detection and monitoring strategies formulated from the integration of multibody models and sensor data, as well as their subsequent development
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electric machines•Nanomaterials for next-generation electronic and photonic nanodevices•Oxide materials for MEMS piezoelectric and multiferroic sensors/actuators•Solid-state devices such as solar cells
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embedded in soft bodies. These oscillators - recently demonstrated as multifunctional units that can simultaneously act as valves, sensors, and actuators (link ) - self-excite and synchronize without
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development of implements for managing main and support crops in the field, tested on stationary gantry robots and mobile platforms. Work includes lightweight, structurally optimized mechanical design, sensor
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, likely with imaging devices not existing during the development. This will require an approach that considers the physics of the multispectral image formation including the three key variables: sensor
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performance and their scalability on a vessel. The PhD candidate will address these challenges by setting up performance monitoring systems using cost effective sensors and IoT devices. To enhance assessment
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/ . The group has been working on mmWave radar sensors in different applications, including automotive, indoor sensing, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart