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functionalized quantum dots and single-molecule fluorescence microscopy Develop novel microfluidic techniques for molecular separation using artificial intelligence Collaborate closely with international research
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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work
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innovative and interdisciplinary scientific network. Scientifically, artificial molecular machine research and technologies are critical fields with the potential to offer significant benefits to chemical
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Artificial Intelligence (IPAI) constitutes a unique innovation platform out of Heilbronn. The HDSC is intended to act as a thematic link between various disciplines – especially Computer Science and Management
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and processes. Our competence center for “Monitoring and Artificial Intelligence” researches and develops innovative AI and monitoring methods across numerous fields of energy infrastructures and
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
Job Code: Tü_93 Job Offer from April 24, 2025 The Max Planck Institute for Intelligent Systems is a world leading research institute in artificial intelligence, machine learning, and robotics
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and processes. Our competence center for “Monitoring and Artificial Intelligence” researches and develops innovative AI and monitoring methods across numerous fields of energy infrastructures and
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related field Sound knowledge in the field of artificial intelligence and machine learning Ideally experience with knowledge graphs, semantic search, graph neural networks (GNNs), explainability
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) German Research Center for Artificial Intelligence (DFKI) CISPA – Helmholtz Center for Information Security Center for Bioinformatics (CBI) Teaching language English Languages All courses are held in
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and machine learning / artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems further scientific