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reshape safety certification frameworks for safety critical systems leveraging AI and IoT technologies? This project aims at advancing inspection and data collection strategies optimization, and their
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, based on measured air temperature and humidity data in cold chains by commercial sensors, and deploy them in end-to-end virtual supply chains. This project also aims to optimize other thermal processes
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13.10.2025, Wissenschaftliches Personal The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of
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-to-end virtual supply chains. This project also aims to optimize other thermal processes using digital twins, such as thermally-steered drug delivery processes for applications in oncology. PhD position
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genome sequencing and related molecular biology techniques Development, implementation and optimization of protocols (e.g., DNA/RNA extraction, library prep) User training and troubleshooting Coordination
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, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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culture, primary patient material) and molecular, cell biological, and/or biophysical methods (microscopy, qPCR, FACS, etc.) is an advantage. Willingness to learn, optimize, and establish new methods
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Assessment of Stakeholders’ Needs (Task 1) • Data Analysis and development of machine learning models for optimized water management in the Almada Municipality (Task 3 and Task 4). • Support end-user training
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The Laboratories for Gut-Immune-Brain Axis Research (GIBA, Prof. Seppe De Schepper) and the Microglia and Inflammation in Neurological Disorders lab (MIND, Prof. Renzo Mancuso) at the VIB–Center
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expert on the use of optimal transport theory in inverse problems, Prof. Elvander is working towards making the framework a powerful tool for applications in signal processing and control. Your role and