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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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of two referees, with an indication of their links to the candidate (e.g., supervisor of the PhD thesis) Early application is highly encouraged, as the applications will be processed upon reception
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Applications should include: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment
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and will employ one PostDoc and one PhD student.
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papers (or of the PhD thesis) Scans of diplomas Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 31
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conferences Contribute to different research projects, either coordinating technical contribution and/or preparing project deliverables Eventually, help in the supervision of PhD students For further
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, managing, and scientifically contributing to projects in Reinforcement Learning on Space Robotics. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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natural and artificial intelligences process information. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods
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wetlands will be tested at the hospital level as a decentralized approach Additional tasks are: Contributing to teaching (lectures for Master students and thesis supervision) Assistance in PhD student
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teaching For further information please contact: Your profile... PhD in history, or alternatively a PhD in humanities or social sciences with experience in conducting historical research Fluency in two