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the transfer of new ideas from the lab to real-life applications, improving lives. The Computational Health Center (CHC) at Helmholtz Munich drives research at the intersection of artificial intelligence, data
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inspiring for the pupils. The FLA’s responsibilities include language tutorials and providing information for cultural studies lessons role playing or rehearsing exam situations with the pupils conversation
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: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: object detection (e.g., using YOLO, RT-DETRv2, etc.) image classification
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. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 4 hours ago
science, and other fields. Our current projects range from basic research on the sense of touch to applications in human-computer interaction and human-robot interaction. We are looking for a Team Assistant
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of the flotation cell Integrate and interpret data from different sensors and measurement techniques to provide a consistent hydrodynamic validation dataset for flotation-cell CFD studies carried out by
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networks and flow fields in porous materials Evaluation of large tomographic data sets as input for mechanistic and AI-based reactive transport models Presentation and publication of original scientific
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multi-omics data resources to drive innovative research REQUIREMENTS: Master’s degree (or higher) in (bio-)statistics, epidemiology, mathematics, or a related discipline Proven proficiency in R Solid
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at sites all over the world. To strengthen the MPIfR Backend Development Group (BDG), we are looking for a Software Engineer (m/f/d). The BDG develops and operates high-performance, software-based data
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interdisciplinary and international team of bioinformaticians, molecular biologists, and clinicians to identify (i) targetable lesions for cancer patients in high-dimensional data, including next-generation