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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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for image-based detection. Implement data fusion and image analysis pipelines for scientific/engineering applications. Build scalable and real-time inference workflows. Collaborate with
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. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI, clinical and sensor data processing, quantitative image analysis and machine learning
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. The candidate will need to master sensor technologies, embedded systems, and communication protocols, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable
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mission. The successful candidate will conduct research using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model to simulate satellite observations, evaluate instrument performance, and
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predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate
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(including historical process data, sensor data, and laboratory findings) using advanced AI approaches such as unsupervised learning, transfer learning, and anomaly detection. Collaborate with process
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Systems , the Chair of Measurement and Sensor System Techniques (MST) offers a position as Research Associate / PhD Student / PostDoc (m/f/x) Multidimensional Optical Information Processing (subject
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) microstructure sensing, process microstructure modeling, and AI enabled closed-loop process control. The research will also incorporate X-ray computed tomography (XCT) image processing and analysis to
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projects, including the application of AI to solve underwater vision problems and Phase III of the Next Generation Sensor Systems for Natural Oceanic Bioluminescence Assessments. The Postdoctoral
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for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society. At the Institute of Sensor and Actuator Systems, in