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vulnerabilities and software testing practices Proven research record with publications in relevant venues (AI, security, and software engineering conferences/journals) Strong analytical and problem-solving
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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and pursues the goal of contributing to the development of a sustainable society in the digital age through research, teaching and administration. The Institute for Software and Systems Engineering
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 26 days ago
curly fibers. Additionally, in many cases, the underlying model for the simulation is not systematically tested for its validity. To bring a breakthrough on the realistic simulation of frictional fibers
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | about 21 hours ago
Beginning Only for doctoral programmes: any time Application deadline The application deadline is flexible. Please check https://www.imprs-trust.mpg.de . Tuition fees per semester in EUR None Combined
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samples. All computational methods and algorithms will be implemented as part of the python based MetaboLabPy platform (https://doi.org/10.3390/metabo15010048 , https://github.com/ludwigc/metabolabpy
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disse informasjonskapslene. Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler
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Description Want to rethink the future of software engineering at scale? Join researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative
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fidelity, and element quality requirements make the problem considerably harder. The aim of this project is to develop new methodologies and software tools that enable high-order meshes to be generated
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reliability in software engineering, with a particular focus on AI, data science, and decision-making, as well as designing, testing, and debugging to improve software quality across domains such as FinTech