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associated molecules to functionally specialised units that either detect the pathogen (sensor NLRs) or execute the immune response (helper NLRs). Some sensor and helper NLRs work as genetically linked pairs
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/m/d) Development of soft-sensors connected to particlebased separation models to control flotation processes. Your tasks Develop and implement soft‑sensor concepts for continuous monitoring of ore
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. Simulated sensor data from a digital shadow will be incorporated to maintain cyber-physical consistency between the UAVs’ status in the model and in the real world. A key goal is to develop methods
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semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content Lately, low-cost sensor devices have gained significant computing capabilities
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time Application deadline Applications are accepted year-round and evaluated every month. Please visit the RESOLV Jobs and Training website for details: https://www.solvation.de/career/jobs-training
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the Institute of Smart Sensors at the University of Stuttgart. There, a chip-scale microwave resonator circuit will be developed and optimised for the use with two maser gain media, pentacene doped p-terphenyl
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Environment: Shape the future of advanced air mobility through involvement in innovative drone-related projects that bridge technology, urban planning, material sciences, sensors and aviation. With the upcoming
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drones and process data of multispectral, thermal and LiDAR sensors Implement approaches to integrate drone data into an existing agroecosystem data assimilation framework Use radiative transfer models
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sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR as well as small-scale EMI measurements with root and shoot observations in controlled experiments
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and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments, numerical methods, or machine learning approaches is an advantage. Fluent command