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materials science, physics, chemistry, electrical engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials synthesis and
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project starts in 2025. Proposed Research Topic: Atmospheric correction of Ground-Based SAR (GBSAR) measurements using a meteorological low-cost sensor network Supervisor: Prof. Dr.-Ing. Stefan Hinz (IPF
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CMOS and SiGe BiCMOS technologies for various applications, such as wireless and wireline communications, satellite systems and high-accuracy radars and sensors for industrial automation. Following
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sensor fusion in close collaboration with industrial and university partners. Additionally, it includes supporting project applications and contributing to the Chair's development initiatives. About us The
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learning-based modelling will be conducted. Within the project, you will learn and combine techniques from sensors, unique respirometric systems, electrochemical techniques, state-of-the-art electron
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fundamental research to the translation into applications such as green technologies or smart sensors. We offer two training programmes: Track II for students with a top-level Bachelor’s degree and Track I
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, optoelectronic and sensor applications. In addition to the use of GaAs and InP, further III-V bulk materials become more and more important. For example, there is a need for high-quality narrow band gap crystals
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are activated by the persistent R-loops, and by which mechanism? Is there an increase in cytoplasmic R-loops (using R-loop sensor and confocal microscopy) and thereby activation of the innate immune response and
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analytics, and machine learning-based modelling will be conducted. Within the project, you will learn and combine techniques from sensors, unique respirometric systems, electrochemical techniques, state
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application of soft sensors consisting of PAT and mechanistic / data driven modelling allowing process control Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric