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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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– a journey to become an independent researcher! Throughout the project, there will be multiple opportunities for cooperation with internal and external partners, supervision of Master students, giving
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! Throughout the project, there will be multiple opportunities for cooperation with internal and external partners, supervising Master students, giving oral presentations at conferences, writing high-impact
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, sample and data analysis and write-up of results for scientific publication are part of the PhD process – a journey to become an independent researcher! Throughout the project, there will be multiple
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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(pre-screened) by multiple people independently. Personal interviews follow in the next step. Language requirements Proficient English skills Submit application to E-mail: application@mcml.ai
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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programme No Joint degree / double degree programme No Description/content The Hasso Plattner Institute's Research Schools offer an outstanding environment for doctoral researchers in computer science and
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research