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Field
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methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
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. Develop algorithms for archiving sea surface temperature data in Group for High Resolution Sea Surface Temperature GDS 2 format. Job Related Minimum Required Education and Experience Requires a Doctoral
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frameworks (e.g. PyTorch). Experience analyzing single-cell, bulk sequencing, or other biological data. Experience in algorithms and good software development practices. Good communication skills. About the
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learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms at the intersection of robot learning, control, and AI
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(“Autonomous System for Hybrid Hyperspectral-SAR Monitoring in Precision Agriculture”, Supervisor Prof. Hugo Hernández Figueroa, and “Development of Methodology and Robust Operational Algorithms for Hybrid
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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07.09.2025, Wissenschaftliches Personal We are seeking a PhD or Postdoctoral researcher to join the AI in Orthopaedics group (TUM & TUM University Hospital). The position focuses on developing
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of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa
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, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor segmentation, enabling
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computational methods for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific