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Computer Science: Software Engineering, Sensor Networks and Engineering Computing at Western Norway University of Applied Sciences, and must meet the formal admission requirements for admission into the PhD
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of extension for the project SECUREAM: Advancing Cybersecurity in Additive Manufacturing in the intersection of blockchain, cryptography, software engineering, and applied formal methods, starting February 1
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and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting the research in combining AI techniques with formal methods
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people, including about 100 researchers and professors and about 80 PhD students. The SPARKS team (Scalable and Pervasive softwARe and Knowledge Systems) is the largest team at I3S with a staff of 104
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for automated software verification. This role offers a unique opportunity to work at the forefront of formal methods and machine learning research, contributing to the foundational principles of how AI is
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of ownership of intellectual property rights regarding software, mathematical methods, and rules of mental activity. Participation in standardisation committees and the drafting of legislative projects and
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transition of quality advisors in the non-formal education sector towards their new exclusive role as quality facilitators. The objectives are to systematically document and analyse organisational and
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 5 days ago
of enrollment/signed commitment to enroll in PhD or Non-degree course in Portugal upon start of contract. Recommendation Letter (optional). Deadline for formalizing the application: September 30, 2025. Form
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to publish at the highest level in the international peer-reviewed research literature As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university
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advanced statistical methods. Experience working in a multi-disciplinary setting and/or teams. Experience with Microsoft Suite products and working knowledge of at least one statistical software (E.g. SAS