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Frankfurt. Our common goal: 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
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automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio for
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automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio
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internet on various specialist topics: Data storage device analysis under Linux and Windows (file systems such as ext[234]/NTFS/FAT) Detection of image/video manipulations (e.g., deepfakes) using deep
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initial hands-on experience with object-oriented programming and software architectures. Embedded Systems: You are interested in embedded systems and ideally have already gained experience with
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extraction and audio manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio for the automotive
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and knowledge transfer formats for companies, students and the general public. Within this environment, our research group investigates tensor network methods for anomaly detection, combining
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methods or data processing is desirable Very good command of German and/or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | Mülheim an der Ruhr, Nordrhein-Westfalen | Germany | about 1 month ago
data protection for applicants can be found on our homepage: https://www.cec.mpg.de/en/career-education/data-protection-information-for-applicants Contact Max Planck Institute for Chemical Energy
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Systems) , an agent-based World–Earth model developed with the copan:LPJmL modelling framework (https://copanlpjml.pik-potsdam.de) to investigate the co-evolution of human land management decision