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. This exciting project will focus on designing, constructing, and testing synthetic cells with multiple sub-compartments. Just like their living counterparts (i.e. eukaryotic cells), synthetic cells with different
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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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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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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